{"id":13584516,"url":"https://github.com/goodrahstar/my-awesome-AI-bookmarks","last_synced_at":"2025-04-07T01:32:32.179Z","repository":{"id":73851747,"uuid":"122454736","full_name":"goodrahstar/my-awesome-AI-bookmarks","owner":"goodrahstar","description":"Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.","archived":false,"fork":false,"pushed_at":"2020-09-06T20:13:08.000Z","size":1005,"stargazers_count":265,"open_issues_count":0,"forks_count":67,"subscribers_count":18,"default_branch":"master","last_synced_at":"2024-05-18T18:51:42.402Z","etag":null,"topics":["algorithms","artificial-intelligence","awesome","awesome-list","blogs","datascience","deep-learning","deeplearning","list","machine-learning","mathamatics","neural-network","python","pytorch","tensorflow"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/goodrahstar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2018-02-22T09:08:21.000Z","updated_at":"2024-04-24T13:19:32.000Z","dependencies_parsed_at":"2024-01-06T13:19:15.983Z","dependency_job_id":"9e00dee6-f284-40ac-80e2-b6150ba76df7","html_url":"https://github.com/goodrahstar/my-awesome-AI-bookmarks","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/goodrahstar%2Fmy-awesome-AI-bookmarks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/goodrahstar%2Fmy-awesome-AI-bookmarks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/goodrahstar%2Fmy-awesome-AI-bookmarks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/goodrahstar%2Fmy-awesome-AI-bookmarks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/goodrahstar","download_url":"https://codeload.github.com/goodrahstar/my-awesome-AI-bookmarks/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247415930,"owners_count":20935385,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["algorithms","artificial-intelligence","awesome","awesome-list","blogs","datascience","deep-learning","deeplearning","list","machine-learning","mathamatics","neural-network","python","pytorch","tensorflow"],"created_at":"2024-08-01T15:04:19.127Z","updated_at":"2025-04-07T01:32:32.151Z","avatar_url":"https://github.com/goodrahstar.png","language":null,"funding_links":[],"categories":["Others","Other awesome AI lists","Tutorials","Awesome List","Data Science","Server Side \u003ca name=\"servercode\"\u003e\u003c/a\u003e"],"sub_categories":["Ukraine"],"readme":"# My Artificial Intelligence Bookmarks  [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\nCurated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.\n\n## 🎉🎉🎉 Purchase updated list here --\u003e [AI Bookmarks](https://aibookmarks.carrd.co/)\n\n## 2018-2019\n- \u003cDT\u003e\u003cA HREF=\"https://deeplearningsandbox.com/how-to-use-transfer-learning-and-fine-tuning-in-keras-and-tensorflow-to-build-an-image-recognition-94b0b02444f2\"\u003e How to use transfer learning and fine-tuning in Keras and Tensorflow to build an image recognition… \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/towards-data-science/how-to-deploy-machine-learning-models-with-tensorflow-part-1-make-your-model-ready-for-serving-776a14ec3198\"\u003e How to deploy Machine Learning models with TensorFlow. Part 1 — make your model ready for serving. \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.scaler.com/blog/machine-learning/#methods-of-machine-learning\"\u003e Methods of Machine Learning - Scaler Blogs \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://github.com/manena/image-classification-indoors-outdoors/blob/master/image-classification.ipynb\"\u003e image-classification-indoors-outdoors/image-classification.ipynb at master · manena/image-classification-indoors-outdoors \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.youtube.com/watch?v=xL-GKD49FXs\"\u003e (620) Learning to Communicate with Deep Multi-Agent Reinforcement Learning - Jakob Foerster - YouTube \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://machinethink.net/blog/compressing-deep-neural-nets/\"\u003e Compressing deep neural nets \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://eng.uber.com/neural-networks/\"\u003e Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks - Uber Engineering Blog \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://www.pietervanos.net/knowledge/start-python-script-from-init-d/\"\u003e Run python script from init.d \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://stackoverflow.com/questions/17747605/daemon-vs-upstart-for-python-script\"\u003e Daemon vs Upstart for python script - Stack Overflow \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.oreilly.com/ideas/reinforcement-learning-for-complex-goals-using-tensorflow\"\u003e Reinforcement learning for complex goals, using TensorFlow - O'Reilly Media \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://spectrum.ieee.org/computing/networks/blockchains-how-they-work-and-why-theyll-change-the-world\"\u003e Blockchains: How They Work and Why They’ll Change the World - IEEE Spectrum \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://janlosert.com/NET292-profile.pdf\"\u003e NET292.profile.indd \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://www.inference.vc/my-notes-on-the-numerics-of-gans/?utm_campaign=Revue%20newsletter\u0026utm_medium=Newsletter\u0026utm_source=The%20Wild%20Week%20in%20AI\"\u003e GANs are Broken in More than One Way: The Numerics of GANs \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.youtube.com/watch?v=hvIptUuUCdU\"\u003e (74) Stanford Seminar - \"Deep Learning for Dummies\" Carey Nachenberg of Symantec and UCLA CS - YouTube \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://hackernoon.com/fast-ai-what-i-learned-from-lessons-1-3-b10f9958e3ff\"\u003e Fast.ai: What I Learned from Lessons 1–3 – Hacker Noon \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://eng.uber.com/horovod/\"\u003e Meet Horovod: Uber's Open Source Distributed Deep Learning Framework \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://www.anishathalye.com/\"\u003e Home · cat /var/log/life \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.kaggle.com/huseinzol05/2d-3d-visualization-using-nce-cost\"\u003e 2D \u0026 3D Visualization using NCE Cost | Kaggle \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.quantamagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921/\"\u003e New Theory Cracks Open the Black Box of Deep Learning | Quanta Magazine \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://distill.pub/2017/feature-visualization/\"\u003e Feature Visualization \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://software.intel.com/en-us/articles/face-it-the-artificially-intelligent-hairstylist?utm_source=taboola\u0026utm_medium=referral\u0026utm_campaign=AI_Student_ASMO_Q4_2017_Media_Buy\"\u003e Face It – The Artificially Intelligent Hairstylist | Intel® Software \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://opensource.com/article/17/11/intro-tensorflow?sc_cid=7016000000127ECAAY\"\u003e What is TensorFlow? | Opensource.com \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/@surmenok/estimating-optimal-learning-rate-for-a-deep-neural-network-ce32f2556ce0\"\u003e Estimating an Optimal Learning Rate For a Deep Neural Network – Medium \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/@pechyonkin/understanding-hintons-capsule-networks-part-i-intuition-b4b559d1159b\"\u003e Understanding Hinton’s Capsule Networks. Part I: Intuition. \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://hackernoon.com/capsule-networks-are-shaking-up-ai-heres-how-to-use-them-c233a0971952\"\u003e Capsule Networks Are Shaking up AI — Here’s How to Use Them \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://research.googleblog.com/2017/10/eager-execution-imperative-define-by.html\"\u003e Research Blog: Eager Execution: An imperative, define-by-run interface to TensorFlow \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/intuitionmachine/google-and-ubers-best-practices-for-deep-learning-58488a8899b6\"\u003e Google and Uber’s Best Practices for Deep Learning – Intuition Machine – Medium \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://blog.acolyer.org/2017/10/03/tfx-a-tensorflow-based-production-scale-machine-learning-platform/\"\u003e TFX: A TensorFlow-based production scale machine learning platform | the morning paper \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.kaggle.com/pmarcelino/comprehensive-data-exploration-with-python\"\u003e Comprehensive data exploration with Python | Kaggle \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.dlology.com/blog/an-easy-guide-to-build-new-tensorflow-datasets-and-estimator-with-keras-model/\"\u003e An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model | DLology \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://amid.fish/distributed-tensorflow-a-gentle-introduction\"\u003e Distributed TensorFlow: A Gentle Introduction \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://developers.googleblog.com/2017/09/introducing-tensorflow-datasets.html\"\u003e Google Developers Blog: Introduction to TensorFlow Datasets and Estimators \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://developers.googleblog.com/2017/11/introducing-tensorflow-feature-columns.html?m=1\"\u003e Google Developers Blog: Introducing TensorFlow Feature Columns \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://tensorly.github.io/stable/user_guide/index.html\"\u003e TensorLy: Tensor learning in Python \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.oreilly.com/ideas/question-answering-with-tensorflow\"\u003e Question answering with TensorFlow - O'Reilly Media \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/intuitionmachine/kubernetes-gpus-tensorflow-8696232862ca\"\u003e Kubernetes + GPUs 💙 Tensorflow – Intuition Machine – Medium \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://eng.uber.com/deep-neuroevolution/\"\u003e Welcoming the Era of Deep Neuroevolution - Uber Engineering Blog \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://tryolabs.com/blog/2017/12/12/deep-learning-for-nlp-advancements-and-trends-in-2017/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3Bk%2BLH0xAtQoitL9UwF53hBQ%3D%3D\"\u003e Deep Learning for NLP, advancements and trends in 2017 - Tryolabs Blog \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://blog.floydhub.com/turning-design-mockups-into-code-with-deep-learning/\"\u003e Turning Design Mockups Into Code With Deep Learning - FloydHub Blog \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://www.wildml.com/2017/12/ai-and-deep-learning-in-2017-a-year-in-review/\"\u003e AI and Deep Learning in 2017 – A Year in Review – WildML \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html?m=1\"\u003e Research Blog: The Google Brain Team — Looking Back on 2017 (Part 1 of 2) \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/reinforcement_learning.html\"\u003e Reinforcement Learning · Artificial Inteligence \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://airbnb.design/sketching-interfaces/\"\u003e Sketching Interfaces – Airbnb Design \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.datasciencecentral.com/profiles/blogs/machine-learning-explained-understanding-supervised-unsupervised\"\u003e Machine Learning Explained: Understanding Supervised, Unsupervised, and Reinforcement Learning - Data Science Central \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://cv-tricks.com/keras/fine-tuning-tensorflow/\"\u003e Fine-tuning Convolutional Neural Network on own data using Keras Tensorflow – CV-Tricks.com \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://deepmind.com/blog/neural-approach-relational-reasoning/\"\u003e A neural approach to relational reasoning | DeepMind \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.alexirpan.com/2018/02/14/rl-hard.html\"\u003e Deep Reinforcement Learning Doesn't Work Yet \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://research.google.com/bigpicture/\"\u003e Big Picture: Google Visualization Research \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://research.googleblog.com/2018/03/using-evolutionary-automl-to-discover.html\"\u003e Research Blog: Using Evolutionary AutoML to Discover Neural Network Architectures \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://mortendahl.github.io/2018/03/01/secure-computation-as-dataflow-programs/\"\u003e Secure Computations as Dataflow Programs - Cryptography and Machine Learning \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://hanxiao.github.io/2018/04/21/Teach-Machine-to-Comprehend-Text-and-Answer-Question-with-Tensorflow/\"\u003e Teach Machine to Comprehend Text and Answer Question with Tensorflow - Part I · Han Xiao Tech Blog \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://karpathy.github.io/2016/05/31/rl/\"\u003e Deep Reinforcement Learning: Pong from Pixels \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://bicepjai.github.io/machine-learning/2016/08/22/tensorboard-on-gcloud.html\"\u003e Tensorboard on gcloud \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/intro-to-artificial-intelligence/entity-extraction-using-deep-learning-8014acac6bb8\"\u003e Entity extraction using Deep Learning based on Guillaume Genthial work on NER \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://towardsdatascience.com/deep-learning-book-notes-chapter-3-part-1-introduction-to-probability-49d13c997f2a\"\u003e Deep Learning Book Notes, Chapter 3 (part 1): Introduction to Probability \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://blog.goodaudience.com/predicting-physical-activity-based-on-smartphone-sensor-data-using-cnn-lstm-9182dd13b6bc\"\u003e Predicting physical activity based on smartphone sensor data using CNN + LSTM \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://towardsdatascience.com/learn-word2vec-by-implementing-it-in-tensorflow-45641adaf2ac\"\u003e Learn Word2Vec by implementing it in tensorflow – Towards Data Science \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://alex-fabbri.github.io/TutorialBank/\"\u003e TutorialBank: Learning NLP Made Easier - Alexander R. Fabbri \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://minimaxir.com/2018/05/text-neural-networks/\"\u003e How to Quickly Train a Text-Generating Neural Network for Free \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://towardsdatascience.com/code2pix-deep-learning-compiler-for-graphical-user-interfaces-1256c346950b\"\u003e Code2Pix - Deep Learning Compiler for Graphical User Interfaces \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.poly-ai.com/docs/naacl18.pdf\"\u003e naacl18.pdf \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://towardsdatascience.com/deep-learning-for-object-detection-a-comprehensive-review-73930816d8d9\"\u003e Deep Learning for Object Detection: A Comprehensive Review \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://hanxiao.github.io/2018/06/25/4-Encoding-Blocks-You-Need-to-Know-Besides-LSTM-RNN-in-Tensorflow/\"\u003e 4 Sequence Encoding Blocks You Must Know Besides RNN/LSTM in Tensorflow · Han Xiao Tech Blog - Deep Learning, Tensorflow, Machine Learning and more! \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://blog.insightdatascience.com/automated-front-end-development-using-deep-learning-3169dd086e82\"\u003e Automated front-end development using deep learning \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://thomas-tanay.github.io/post--L2-regularization/\"\u003e A New Angle on L2 Regularization \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://anotherdatum.com/\"\u003e Another Datum \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://indico.cern.ch/event/722319/contributions/3001310/attachments/1661268/2661638/IML-Sequence.pdf?utm_campaign=Revue%20newsletter\u0026utm_medium=Newsletter\u0026utm_source=NLP%20News\"\u003e IML-Sequence \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://github.com/ml4a/ml4a-guides/blob/experimental/notebooks/q_learning.ipynb\"\u003e ml4a-guides/q_learning.ipynb at experimental · ml4a/ml4a-guides \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd/blob/master/tensorflow-rnn-tutorial/tutorial/00_RNN_predictions_playground.ipynb\"\u003e tensorflow-without-a-phd/00_RNN_predictions_playground.ipynb at master · GoogleCloudPlatform/tensorflow-without-a-phd \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.learnopencv.com/convolutional-neural-network-based-image-colorization-using-opencv/\"\u003e Convolutional Neural Network based Image Colorization using OpenCV | Learn OpenCV \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://blog.feedly.com/transfer-learning-in-nlp/\"\u003e Transfer Learning in NLP – Feedly Blog \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://stanford.edu/~shervine/teaching/cs-229/cheatsheet-deep-learning.html\"\u003e CS 229 - Deep Learning Cheatsheet \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://ai.googleblog.com/2018/08/introducing-new-framework-for-flexible.html?m=1\"\u003e Google AI Blog: Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/tensorflow/building-a-text-classification-model-with-tensorflow-hub-and-estimators-3169e7aa568\"\u003e Building a text classification model with TensorFlow Hub and Estimators \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://towardsdatascience.com/deploy-tensorflow-models-9813b5a705d5\"\u003e Deploy TensorFlow models – Towards Data Science \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://mohitjain.me/category/deep-learning/\"\u003e Deep Learning – Mohit Jain \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://habr.com/company/mailru/blog/417767/\"\u003e Анализ тональности текстов с помощью сверточных нейронных сетей / Блог компании Mail.Ru Group / Хабр \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://hanxiao.github.io/2018/09/09/Dual-Ask-Answer-Network-for-Machine-Reading-Comprehension/\"\u003e Machine Reading Comprehension Part II: Learning to Ask \u0026 Answer · Han Xiao Tech Blog - Deep Learning, Tensorflow, Machine Learning and more! \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://minimaxir.com/2018/05/text-neural-networks/\"\u003e How to Quickly Train a Text-Generating Neural Network for Free \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://towardsdatascience.com/auto-keras-or-how-you-can-create-a-deep-learning-model-in-4-lines-of-code-b2ba448ccf5e\"\u003e Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.kdnuggets.com/2018/10/more-effective-transfer-learning-nlp.html\"\u003e More Effective Transfer Learning for NLP \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/@gautam.karmakar/machine-learning-using-google-cloud-ml-engine-465413d08510\"\u003e Machine Learning using Google Cloud ML Engine. – Gautam Karmakar – Medium \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/tensorflow/training-and-serving-ml-models-with-tf-keras-fd975cc0fa27\"\u003e Training and Serving ML models with tf.keras – TensorFlow – Medium \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.freecodecamp.org/how-to-deploy-tensorflow-models-to-production-using-tf-serving-4b4b78d41700\"\u003e How to deploy TensorFlow models to production using TF Serving \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://blog.mgechev.com/2018/10/20/transfer-learning-tensorflow-js-data-augmentation-mobile-net/\"\u003e Playing Mortal Kombat with TensorFlow.js. Transfer learning and data augmentation · Minko Gechev's blog \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/netflix-techblog/notebook-innovation-591ee3221233\"\u003e Beyond Interactive: Notebook Innovation at Netflix – Netflix TechBlog – Medium \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.pyimagesearch.com/2018/11/19/mask-r-cnn-with-opencv/?fbclid=IwAR2fLC3913dP3h-OPCDDkGT3dgdI_xvPBYY0Le5aTZPoyTiBaWhJnzTFoOo\"\u003e Mask R-CNN with OpenCV - PyImageSearch \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://jalammar.github.io/illustrated-bert/\"\u003e The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/tensorflow/serving-ml-quickly-with-tensorflow-serving-and-docker-7df7094aa008\"\u003e Serving ML Quickly with TensorFlow Serving and Docker \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://hai.stanford.edu/news/the_intertwined_quest_for_understanding_biological_intelligence_and_creating_artificial_intelligence/\"\u003e Human-Centered AI \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://blog.keras.io/keras-as-a-simplified-interface-to-tensorflow-tutorial.html\"\u003e Keras as a simplified interface to TensorFlow: tutorial \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://hanxiao.github.io/2019/01/02/Serving-Google-BERT-in-Production-using-Tensorflow-and-ZeroMQ/\"\u003e Serving Google BERT in Production using Tensorflow and ZeroMQ · Han Xiao Tech Blog - Deep Learning, NLP, AI \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.lyrn.ai/2019/01/06/massively-multilingual-sentence-embeddings-for-zero-shot-transfer/\"\u003e Multilingual Sentence Embeddings for Zero-Shot Transfer – Applying a Single Model on 93 Languages | Lyrn.AI \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/ymedialabs-innovation/deploy-flask-app-with-nginx-using-gunicorn-and-supervisor-d7a93aa07c18\"\u003e Deploy flask app with nginx using gunicorn and supervisor \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"chrome-extension://klbibkeccnjlkjkiokjodocebajanakg/suspended.html#ttl=Dept.%20of%20Computer%20Sci.%3A%20Module%20Handbook%20for%20the%20Bachelor%20and%20Master%20Programmes\u0026uri=https://www.informatik.uni-kl.de/en/studium/lehrveranstaltungen/modulhb/#mod-89-7157\"\u003e Dept. of Computer Sci.: Module Handbook for the Bachelor and Master Programmes \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.topbots.com/most-important-ai-nlp-research/?utm_campaign=meetedgar\u0026utm_medium=social\u0026utm_source=meetedgar.com\"\u003e 14 NLP Research Breakthroughs You Can Apply To Your Business \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://jalammar.github.io/illustrated-bert/?utm_campaign=meetedgar\u0026utm_medium=social\u0026utm_source=meetedgar.com\u0026fbclid=IwAR3W2x0gliwwLxs_aq31sO7-P8mMHwJw4TSxA5f9HdrYVfw5Fu9rXqC50CA\"\u003e The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks#machine-learning-statistics-and-probability\"\u003e A gallery of interesting Jupyter Notebooks · jupyter/jupyter Wiki \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://sites.google.com/view/berkeley-cs294-158-sp19/home?fbclid=IwAR1kZ2ySKVILpfWjWsvKGiyEUOWiH7Ry1v4Gx_6hezXFP3N1L0nxFfZHu8s\"\u003e CS294-158 Deep Unsupervised Learning Spring 2018 \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://hackernoon.com/object-detection-in-google-colab-with-custom-dataset-5a7bb2b0e97e\"\u003e Object Detection in Google Colab with Custom Dataset \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/sfu-big-data/advanced-visualization-for-data-scientists-with-matplotlib-15c28863c41c\"\u003e Advanced Visualization for Data Scientists with Matplotlib \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://github.com/FavioVazquez/ds-cheatsheets\"\u003e FavioVazquez/ds-cheatsheets: List of Data Science Cheatsheets to rule the world \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://towardsdatascience.com/gentle-dive-into-math-behind-convolutional-neural-networks-79a07dd44cf9?fbclid=IwAR3A-58pTeXcUGua3Ahx6XacInzPDJRmrCZRFUHspNu8yd55Wu0LEpWKtWI\"\u003e Gentle Dive into Math Behind Convolutional Neural Networks \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-019-0191-6\"\u003e Customer churn prediction in telecom using machine learning in big data platform \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://drscotthawley.github.io/How-To-Port-Forward-Jupyter-Notebooks/\"\u003e How to Port-Forward Jupyter Notebooks – Scott Hawley – Development Blog \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://huyenchip.com/2019/05/12/top-8-trends-from-iclr-2019.html\"\u003e Top 8 trends from ICLR 2019 \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://jalammar.github.io/illustrated-word2vec/?utm_campaign=NLP%20News\u0026utm_medium=email\u0026utm_source=Revue%20newsletter\"\u003e The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://ai.googleblog.com/2019/01/transformer-xl-unleashing-potential-of.html\"\u003e Google AI Blog: Transformer-XL: Unleashing the Potential of Attention Models \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"chrome-extension://klbibkeccnjlkjkiokjodocebajanakg/suspended.html#ttl=TensorFlow%20%26%20reflective%20tape%C2%A0%3A%20why%20I%E2%80%99m%20bad%20at%20basketball%20%F0%9F%8F%80\u0026pos=11354\u0026uri=https://towardsdatascience.com/tensorflow-reflective-tape-why-im-bad-at-basketball-a30a923332de\"\u003e TensorFlow \u0026 reflective tape : why I’m bad at basketball 🏀 \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.topbots.com/nlu-topic-modeling/?utm_campaign=meetedgar\u0026utm_medium=social\u0026utm_source=meetedgar.com\u0026fbclid=IwAR3SjXd892c9tsCENKyQtykz-i4JtZxcnGRMc1SdNZVfppGsKqBdOcAHAd8\"\u003e Topic Modeling with LSA, PLSA, LDA \u0026 lda2Vec \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/@jonathan_hui/gan-some-cool-applications-of-gans-4c9ecca35900\"\u003e GAN — Some cool applications of GANs. – Jonathan Hui – Medium \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://karpathy.github.io/2019/04/25/recipe/?fbclid=IwAR1_G5KlP_3ljH2Nexo1Qf0zxxK30AjrV5P9vbAtPIuFeFTvu_JxHbe1HUY\"\u003e A Recipe for Training Neural Networks \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://brilliant.org/courses/quantum-computing/\"\u003e Practice Quantum Computing | Brilliant \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://github.com/dennybritz/reinforcement-learning\"\u003e dennybritz/reinforcement-learning: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course. \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://weightagnostic.github.io/\"\u003e Weight Agnostic Neural Networks \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://www.peterbloem.nl/blog/transformers\"\u003e Transformers from scratch | Peter Bloem \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://jalammar.github.io/illustrated-transformer/\"\u003e The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://jalammar.github.io/illustrated-gpt2/\"\u003e The Illustrated GPT-2 (Visualizing Transformer Language Models) – Jay Alammar – Visualizing machine learning one concept at a time \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://ml-dl.com/\"\u003e ml-dl - \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://drive.google.com/file/d/12rXqPMb5MjPyCfj8fpIHskZXQuQiykmu/view\"\u003e Indaba2019 NLP Talk.pdf - Google Drive \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://jacobbuckman.com/2019-09-23-automation-via-reinforcement-learning/?fbclid=IwAR2PnVywt45E0q0P7DaFOLa7mv5ZMkYJ9tIHF8kDyB3_OLrtw7Rc-o3-CIM\"\u003e Automation via Reinforcement Learning \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://web.stanford.edu/class/cs224n/index.html#schedule\"\u003e CS 224N | Home \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://github.com/mihail911/nlp-library\"\u003e mihail911/nlp-library: curated collection of papers for the nlp practitioner 📖👩‍🔬 \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://pythonspeed.com/docker/\"\u003e Production-ready Docker images \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/key-lessons-from-books/the-key-lessons-from-where-good-ideas-come-from-by-steven-johnson-1798e11becdb\"\u003e The key lessons from “Where Good Ideas Come From” by Steven Johnson \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://brianasimba.github.io/MachineLearningblog//Neural-Network-Example/?fbclid=IwAR3rneUrHWazLbsWuR96Qvkc-wWu-ppd4I2EvlIJUjad-7IOU-6kXArMEuE\"\u003e Neural Networks Example, Math and code – Brian Omondi Asimba \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/comet-ml/applyingmachinelearningtoaudioanalysis-utm-source-kdnuggets11-19-e160b069e88\"\u003e How to apply machine learning and deep learning methods to audio analysis \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://jalammar.github.io/a-visual-guide-to-using-bert-for-the-first-time/\"\u003e A Visual Guide to Using BERT for the First Time – Jay Alammar – Visualizing machine learning one concept at a time \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://slideslive.com/neurips/\"\u003e NeurIPS · SlidesLive \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://towardsdatascience.com/from-pre-trained-word-embeddings-to-pre-trained-language-models-focus-on-bert-343815627598\"\u003e https://towardsdatascience.com/from-pre-trained-word-embeddings-to-pre-trained-language-models-focus-on-bert-343815627598 \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/\"\u003e Joel Grus – Fizz Buzz in Tensorflow \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://www.youtube.com/watch?v=fyeQGpXIrjc\u0026t=544s\"\u003e (160) Visual Interpretability of CNNs | Himanshu Rawlani | PyData Pune Meetup | July 2019 - YouTube \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://memosisland.blogspot.com/2020/02/a-simple-and-interpretable-performance.html\"\u003e Memo's Island: A simple and interpretable performance measure for a binary classifier \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Data-Science-Periodic-Table.pdf\"\u003e Data-Science-Periodic-Table.pdf \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/data-science-engineering/productising-tensorflow-keras-models-via-tensorflow-serving-69e191cb1f37?source=linkShare-e1892a13bc4b-1584180740\u0026fbclid=IwAR0y9GxhA76cBkosJ1Cd5KNix0BmeaDc6QejkPkfPfDBfsynNgm4vCovY5w\u0026_branch_match_id=752894265655536253\"\u003e Writing a Generic TensorFlow Serving Client for Tensorflow Serving models \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/data-science-engineering/productising-tensorflow-keras-models-via-tensorflow-serving-69e191cb1f37\"\u003e Writing a Generic TensorFlow Serving Client for Tensorflow Serving models \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"http://dspace.mit.edu/bitstream/handle/1721.1/41487/AI_WP_316.pdf\"\u003e dspace.mit.edu/bitstream/handle/1721.1/41487/AI_WP_316.pdf \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://graphdeeplearning.github.io/post/transformers-are-gnns/\"\u003e Transformers are Graph Neural Networks | NTU Graph Deep Learning Lab \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://towardsdatascience.com/7-advanced-tricks-in-pandas-for-data-science-41a71632b5d9\"\u003e 7 advanced pandas tricks for data science - Towards Data Science \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://ai.googleblog.com/2020/04/xtreme-massively-multilingual-multi.html\"\u003e Google AI Blog: XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://poloclub.github.io/cnn-explainer/\"\u003e CNN Explainer \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://poloclub.github.io/\"\u003e Polo Club of Data Science @ Georgia Tech: Human-Centered AI, Deep Learning Interpretation \u0026 Visualization, Cybersecurity, Large Graph Visualization and Mining | Georgia Tech | Atlanta, GA 30332, United States \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://sararobinson.dev/2020/04/30/baking-machine-learning.html#recipe\"\u003e Sara Robinson \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://lindeloev.github.io/tests-as-linear/\"\u003e Common statistical tests are linear models (or: how to teach stats) \u003c/A\u003e \n- \u003cDT\u003e\u003cA HREF=\"https://amitness.com/2020/05/zero-shot-text-classification/\"\u003e Zero-Shot Learning for Text Classification \u003c/A\u003e \n\n## 2015 - 2018 \n\n- \u003cDT\u003e\u003cA HREF=\"https://www.amazon.in/Python-Deep-Learning-Projects-demystifying/dp/1788997093\" ADD_DATE=\"1440258062\"\u003ePython Deep Learning Projects\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://www.deeplearningbook.org/\" ADD_DATE=\"1440258062\"\u003eDeep Learning \u003c/A\u003e\n\n- \u003cDT\u003e\u003cA HREF=\"http://leenissen.dk/fann/wp/\" ADD_DATE=\"1439994804\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAEklEQVQ4jWNgGAWjYBSMAggAAAQQAAF/TXiOAAAAAElFTkSuQmCC\"\u003eFast Artificial Neural Network Library (FANN)\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://natureofcode.com/book/chapter-10-neural-networks/\" ADD_DATE=\"1440258062\"\u003eThe Nature of Code\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://in.mathworks.com/help/nnet/ug/create-and-train-custom-neural-network-architectures.html\" ADD_DATE=\"1440258121\" ICON=\"data:image/png;base64,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\"\u003eCreate and Train Custom Neural Network Architectures - MATLAB \u0026amp; Simulink - MathWorks India\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://www.npmjs.com/package/limdu\" ADD_DATE=\"1440735620\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAp0lEQVQ4jd2TIQ6DMBiFvy50YsxN4DDTuDpOwQm4DPdBYbjCuMIEiCU4zFRFp5qsKyskFUv21P+nfZ957xc3METoEGMGSOwgs4xUqV2m5zCg59kFpEpxbdtdgHtVsXSdC7ASUgbNRmtn9wDv0tPEo2kAOJcll7r2/gQBAEvfo8cRYBWwmYIw4ZSjY/wDgJfCZ85bb8Ie07cq28Yd85xTUQBulcXPr/EFvaMxMHPGlVsAAAAASUVORK5CYII=\"\u003elimdu js framework\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://neuralnetworksanddeeplearning.com/chap2.html\" ADD_DATE=\"1441724113\"\u003eNeural networks and deep learning\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.dspguide.com/ch26/3.htm\" ADD_DATE=\"1442062040\"\u003eNN Why Does it Work?\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-079-introduction-to-convex-optimization-fall-2009/\" ADD_DATE=\"1442062094\" ICON=\"data:image/png;base64,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\"\u003eIntroduction to Convex Optimization | Electrical Engineering and Computer Science | MIT OpenCourseWare\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://pythonprogramming.net/image-recognition-python/\" ADD_DATE=\"1442066035\" ICON=\"data:image/png;base64,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\"\u003ePython Programming Tutorials imge recognition\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://www.edx.org/course/data-science-machine-learning-essentials-microsoft-dat203x?utm_source=facebook.com\u0026utm_medium=cpc\u0026utm_content=microsoft-data-science-in\u0026utm_campaign=microsoft-data-science-in\" ADD_DATE=\"1442121088\" ICON=\"data:image/png;base64,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\"\u003eData Science and Machine Learning Essentials | edX\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://blog.christianperone.com/2015/08/convolutional-neural-networks-and-feature-extraction-with-python/?utm_content=buffer223cf\u0026utm_medium=social\u0026utm_source=plus.google.com\u0026utm_campaign=buffer\" ADD_DATE=\"1443456601\"\u003eDeep learning – Convolutional neural networks and feature extraction with Python | Pyevolve\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.datasciencecentral.com/profiles/blogs/50-external-machine-learning-data-science-resources-and-articles\" ADD_DATE=\"1443457116\" ICON=\"data:image/png;base64,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\"\u003e50 external machine learning / data science resources and articles - Data Science Central\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://karpathy.github.io/neuralnets/\" ADD_DATE=\"1443667790\"\u003eHacker\u0026#39;s guide to Neural Networks\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://blog.fastforwardlabs.com/post/129793362663/how-do-neural-networks-learn?utm_content=buffercf7e0\u0026utm_medium=social\u0026utm_source=plus.google.com\u0026utm_campaign=buffer\" ADD_DATE=\"1443667795\" ICON=\"data:image/png;base64,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\"\u003eFast Forward Labs: How do neural networks learn?\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://www.reddit.com/r/MachineLearning/\" ADD_DATE=\"1445271930\" ICON=\"data:image/png;base64,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\"\u003eMachine Learning\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://memkite.com/blog/2015/10/14/memkite-deep-learning-for-ios-tested-on-iphone-6s-tvos-and-os-x-developed-in-metal-and-swift/\" ADD_DATE=\"1445272023\" ICON=\"data:image/png;base64,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\"\u003eMemkite – Deep Learning for iOS (tested on iPhone 6S), tvOS and OS X developed in Metal and Swift | Memkite\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.computervisiontalks.com/demis-hassabis-ceo-deepmind-technologies-the-theory-of-everything/\" ADD_DATE=\"1445273146\" ICON=\"data:image/png;base64,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\"\u003eDemis Hassabis, CEO, DeepMind Technologies - The Theory of Everything | Machine Learning \u0026amp; Computer Vision Talks\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.datatau.com/\" ADD_DATE=\"1445273192\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAABIklEQVQ4jaWST0rDQBSHvzglfwhaF00gy6KrIIouXFjcuO9W40q9Qk+QbQ4RUFz2CqLQnqAulKCeIAfoIk2eC2kgNDG1fjAMzJv5eO/HaI7jCEBRFAAsFovKvkTTQKlO5bzIf97IJqvb64lSSjYSnJ5fyP3jgxwe7EmHGvr9Pnmek2UZAKZpYhgGhq4ze33n7OSY5OOrvF+aR6ORtHF5dS37/pHc3N2KZXSqHQRBAEAcx7iuy3A4BCCKImzbZnt3h5fnJ9I05fNtttqB53mVWUVE5vN5WyYNKXe7Zdu/CbbqQgTQdb2pVKFRYFnW/wRKqbUE0DCbbdtlBuPxWMIw/FuIgEyn08ofqLujLS1NDAYDfN9nMpmQJMlKvVXQRmOI6/INmifiCxwYj9sAAAAASUVORK5CYII=\"\u003eDataTau- hacker news on DL\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://deeplearning4j.org/deeplearningpapers.html\" ADD_DATE=\"1445273373\" ICON=\"data:image/png;base64,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\"\u003eDeeplearning4j - Open-source, distributed deep learning for the JVM\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://torch.ch/blog/2015/09/21/rmva.html?utm_content=buffer04527\u0026utm_medium=social\u0026utm_source=plus.google.com\u0026utm_campaign=buffer\" ADD_DATE=\"1445273574\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAEklEQVQ4jWNgGAWjYBSMAggAAAQQAAF/TXiOAAAAAElFTkSuQmCC\"\u003eTorch | Recurrent Model of Visual Attention\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://xyclade.github.io/MachineLearning/?utm_content=bufferc49fa\u0026utm_medium=social\u0026utm_source=plus.google.com\u0026utm_campaign=buffer#using-unsupervised-learning-to-merge-features-pca\" ADD_DATE=\"1445273589\"\u003eMachine Learning for Developers by Mike de Waard\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://plus.google.com/u/0/communities/112866381580457264725?cfem=1\" ADD_DATE=\"1445273656\" ICON=\"data:image/png;base64,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\"\u003eDeep Learning - Community - Google+\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.datasciencecentral.com/profiles/blogs/a-tour-of-machine-learning-algorithms-1\" ADD_DATE=\"1445664608\" ICON=\"data:image/png;base64,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\"\u003eA Tour of Machine Learning Algorithms - Data Science Central\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://devblogs.nvidia.com/parallelforall/understanding-natural-language-deep-neural-networks-using-torch/?utm_content=buffer764ae\u0026utm_medium=social\u0026utm_source=plus.google.com\u0026utm_campaign=buffer\" ADD_DATE=\"1446038287\" ICON=\"data:image/png;base64,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\"\u003eUnderstanding Natural Language with Deep Neural Networks Using Torch | Parallel Forall\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://karpathy.github.io/2015/10/25/selfie/\" ADD_DATE=\"1446038294\"\u003eWhat a Deep Neural Network thinks about your #selfie\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://yosinski.com/deepvis\" ADD_DATE=\"1446038302\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAMklEQVQ4jWNc8njJfwY8YOPxjfikGZjwyhIBRg0YDAawaMho4FVwU+YmbV0wasBgMAAA4Z8Hr23d6h4AAAAASUVORK5CYII=\"\u003eJason Yosinski\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.wildml.com/\" ADD_DATE=\"1446050714\"\u003eWildML | A blog about Machine Learning, Deep Learning and NLP.\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://tensorflow.org/get_started\" ADD_DATE=\"1447305360\" ICON=\"data:image/png;base64,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\"\u003eGetting Started — TensorFlow\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://videolectures.net/deeplearning2015_bengio_theoretical_motivations/?utm_content=buffer3e74c\u0026utm_medium=social\u0026utm_source=plus.google.com\u0026utm_campaign=buffer\" ADD_DATE=\"1447441364\" ICON=\"data:image/png;base64,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\"\u003eDeep Learning:Theoretical Motivations - VideoLectures.NET\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://ufldl.stanford.edu/tutorial/supervised/MultiLayerNeuralNetworks/\" ADD_DATE=\"1447441435\"\u003eUnsupervised Feature Learning and Deep Learning Tutorial\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://wit.ai/getting-started\" ADD_DATE=\"1450109727\" ICON=\"data:image/png;base64,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\"\u003eWit — Getting Started\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://research.microsoft.com/pubs/209355/DeepLearning-NowPublishing-Vol7-SIG-039.pdf\" ADD_DATE=\"1450113619\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAABC0lEQVQ4jYWSQU7DMBBFn+04adNCG1UVAgQrOCcX4GZI3bIsgl1FK0hTUhPHZoEqVIEHr0b+f958j6ziPRHh9NOSfjZO6lpqBohlLur/A7Rs0c3DJftllTQo38uAflvglhXdapSY4GTAoQguSwD26F0aogF02ZGfNUlTtqoxdfvrXsWI8ndFNGMHSkwKQCwsYZSD0dD16MaRmZOfeNFr3FOF3wwJzmBOHfnFFjvffU90HcZ1x+kORWgtu8X50S78usSvS4rrdwY36/QOANrHeXKR7nmC3wzTgL4u8G8D8f3uZZIGhNaKzZJHAygr/zbJowHMdI+yQQTY2YeQQEeGt6/JZjP+JL+q/9S+AB4CYnWITu5rAAAAAElFTkSuQmCC\"\u003eresearch.microsoft.com/pubs/209355/DeepLearning-NowPublishing-Vol7-SIG-039.pdf\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://github.com/ujjwalkarn/Machine-Learning-Tutorials\" ADD_DATE=\"1450966904\" ICON=\"data:image/png;base64,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\"\u003eujjwalkarn/Machine-Learning-Tutorials\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.programmableweb.com/news/top-10-machine-learning-apis-att-speech-ibm-watson-google-prediction/analysis/2015/08/03?utm_campaign=Artificial%2BIntelligence%2BWeekly\u0026utm_medium=email\u0026utm_source=Artificial_Intelligence_Weekly_29\" ADD_DATE=\"1451501646\" ICON=\"data:image/png;base64,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\"\u003eTop 10 Machine Learning APIs: AT\u0026amp;T Speech, IBM Watson, Google Prediction | ProgrammableWeb\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://neurovis.mitchcrowe.com/?utm_campaign=Artificial%2BIntelligence%2BWeekly\u0026utm_medium=email\u0026utm_source=Artificial_Intelligence_Weekly_29\" ADD_DATE=\"1451501690\"\u003eNeuroVis | An interactive introduction to neural networks\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://github.com/chetannaik/learning_tensorflow/blob/master/word2vec.md\" ADD_DATE=\"1451670897\" ICON=\"data:image/png;base64,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\"\u003elearning_tensorflow/word2vec.md at master · chetannaik/learning_tensorflow\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://github.com/rouseguy/intro2deeplearning/tree/master/notebooks\" ADD_DATE=\"1451670901\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACJElEQVQ4jY1TMWsUQRT+5r3d3Cbe7t3u3hEDdoJgIVieGo1YBixsBIsUtvkHNpaCnaJFUMEihSlEbGxFE8XCRrDWIAqJyd3t3JGcuduZeRa5DUtAk6968/i+733zhlE4hHq9foWZbwG4pkRmAECU2gDw1lr7Qmu9WuarUs2NOH7Onrdw2LQMa8xyO8tuA7BlA07TdM0juvA/cQHj3KdOp3MZgGUAaMTxssc8nxuzOsrzm90s2yDmU6TUtoh0BKhut9t3Rnl+1/O8Mz7z7GSlcnqwt/cKURS1pptNmW42JUmSpfGQKoCp0tBqkTZJkqWCH0VRiyaYFw/uZ+2zcbkDYFAy2AEgAOCcWymaE8yLBOZZALDOjQB0jrGCdevccH9zPEsYPxWU2uz1eutHqbXWP6DUbwCAyAwV0QDUANAxEhBE6uNaSICfAMBK1dI0vX6UOo7jeSaKsD/5F5FSa04EW+22dca8jMPw0r/ESRheZKKnxVlE3lFuzOPRMIeIWN3v93u7ux+IaBBFUasgBkFwlYi2/SD4yEQnSwaPSGv9xa/4T6abzYm6789Vq9WFMAw/K6W2CmKlUtmJoqhRTmNFHmRZ9vXgLyRx/J6IzlnnzotIX2utS/ywkaabTDQFANaY1+0su7G/0TG6WTYHpVaY6LvH/A3ATMngRCE2xtwrxADA5ViDweDNZBDsQamG7/vLw+HwDwDUajVfiZx1wMNOt3u/rPkLJe7aBdfH1TYAAAAASUVORK5CYII=\"\u003eintro2deeplearning/notebooks at master · rouseguy/intro2deeplearning\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://www.youtube.com/watch?v=s96mYcicbpE\u0026index=6\u0026list=PLjJh1vlSEYgvZ3ze_4pxKHNh1g5PId36-\u0026spfreload=1\" ADD_DATE=\"1451670912\" ICON=\"data:image/png;base64,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\"\u003eAutoencoders - Ep. 10 (Deep Learning SIMPLIFIED) - YouTube\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://pythonprogramming.net/image-recognition-python/\" ADD_DATE=\"1451670924\" ICON=\"data:image/png;base64,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\"\u003ePython Programming Tutorials\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://machinelearningmastery.com/how-to-prepare-data-for-machine-learning/\" ADD_DATE=\"1451670932\" ICON=\"data:image/png;base64,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\"\u003eHow to Prepare Data For Machine Learning - Machine Learning Mastery\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://machinelearningmastery.com/applied-machine-learning-process/\" ADD_DATE=\"1451670938\" ICON=\"data:image/png;base64,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\"\u003eSolve Machine Learning Problems Step­-by­-Step - Machine Learning Mastery\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/\" ADD_DATE=\"1451670947\"\u003eImplementing a CNN for Text Classification in TensorFlow – WildML\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/\" ADD_DATE=\"1451670963\"\u003eAnyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) - i am trask\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.kdnuggets.com/2015/11/seven-steps-machine-learning-python.html\" ADD_DATE=\"1451670969\" ICON=\"data:image/png;base64,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\"\u003e7 Steps to Mastering Machine Learning With Python\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://deeplearningkit.org/2015/12/28/deeplearningkit-open-source-deep-learning-framework-for-apples-ios-os-x-and-tvos/\" ADD_DATE=\"1451670975\" ICON=\"data:image/png;base64,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\"\u003eDeepLearningKit – Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS | Open Source Deep Learning Framework for iOS, OS X and tvOS\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.r2d3.us/visual-intro-to-machine-learning-part-1/\" ADD_DATE=\"1452011094\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA+UlEQVQ4jaXTuUoEQRSF4a8XmdHUBRcwMHEwEMWn8JV8AB/JbBITI8VMFFQw0kBQxJ3uMejb0KB221hQVFVw/nvuqaoEE7yh1G+kGOYh3sMxsj+KC+xgP4/Kpzjs6SBDmfYUfRs1YIIcC5gJ+iymuwB5rCU2A5DjAssBGOOjywEM4jzELU4aBTpboEp2gBdMYRdXbdWbLaS4xBnmsKi63ixm0QWAT6ziHnchemgTNwElRmF9Ca8xN3AQbloBSVS6CcvreFRl0vrEa8AkhGuqq6tF7+Hq1yCbIZ5jBdd4UuVxhOcuBym2o4UE87GWsR/9oCuwhTTxz+/8BYLQOBffJu5qAAAAAElFTkSuQmCC\"\u003eA Visual Introduction to Machine Learning\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.wildml.com/2016/01/attention-and-memory-in-deep-learning-and-nlp/\" ADD_DATE=\"1452446924\"\u003eAttention and Memory in Deep Learning and NLP – WildML\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://iamtrask.github.io/2015/07/12/basic-python-network/\" ADD_DATE=\"1452449818\"\u003eA Neural Network in 11 lines of Python (Part 1) - i am trask\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.analyticsvidhya.com/learning-paths-data-science-business-analytics-business-intelligence-big-data/learning-path-data-science-python/\" ADD_DATE=\"1452449825\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAIAAACQkWg2AAACKklEQVQ4jXWSzUvUURSGz7n3zqcDWoR9EDUunRT6Im1RLQo1i1YRgphEtMv+goqodZtsEVHSqmhjixS0RQmNQqGGZEok5YiIpGY6zqj87jlvi8EpwZ7lgcN7eJ/DAGgzxQkAZmbmQDUzMz80ljlSud/RfygsCXDrYWdP/9jMuv85Pd9xu9kAhM0QETETwEyqmtxbfvNaY1VyJ3kNhSwDSsRbn0SAwlo7M7d4+Mr9ij1lLY21DuCN/C0QBRvcfdaT3F128fSh2YVlQwQCEYhU6d8CQACFnM2u5F/0Dt+52hCPhJnJEREYBGJrQUSqzExEYFJR61xH94dd2xN1Nam5xawxhlRVfKDAUl/3auabioj3qioiIhJ4n2q69/R1PwAVAWAAELGsr648b891PiFjAAVIRJm5K/3ZMjXXHxNRBVTVkKqxNvfxbUnrDUQj+ZEBtiGoMBMzP+p8f/3SqUjICZSNMcwGhlX8+uTX+MGTifqm7JuXhhSAtXZwfHIpm798tkZEnTGFNo1huzY1YRKlNhaPVlQObqse+vSFnWPmx6/SLedqopGwQnnDlWGmtfHh2IGjxAxosu5CR9+oZZ6anc/MLrQ2HhdRa0zRrQuyvyW3HKtIkapXrdpXvqM00T86MTDy4/yJ6pJYJAi8c7aoh38N9DKbstoz4j2xYaaF5VxDW3s8Gu550BYNu8LD/hWan/4e5LMqKiKqEgQeQFd65N3gOIDAexUtAuAPzcdZk8CkpdIAAAAASUVORK5CYII=\"\u003ePython Training | Python For Data Science | Learn Python\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://colah.github.io/posts/2015-08-Understanding-LSTMs/\" ADD_DATE=\"1452449829\" ICON=\"data:image/png;base64,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\"\u003eUnderstanding LSTM Networks -- colah\u0026#39;s blog\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://github.com/nreimers/deeplearning4nlp-tutorial/tree/master/2015-10_Lecture/\" ADD_DATE=\"1452612081\" ICON=\"data:image/png;base64,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\"\u003edeeplearning4nlp-tutorial/2015-10_Lecture at master · nreimers/deeplearning4nlp-tutorial\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://electronicsforu.com/electronicsforu/circuitarchives/view_article.asp?sno=1802\u0026b_type=new\u0026id=12983\u0026group_type=cool%5Fstuff\" ADD_DATE=\"1453633084\"\u003eCollection Of 51 Free eBooks On Python Programming\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://erikbern.com/2016/01/21/analyzing-50k-fonts-using-deep-neural-networks/\" ADD_DATE=\"1453825789\"\u003eAnalyzing 50k fonts using deep neural networks | Erik Bernhardsson\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.datascienceontology.com/\" ADD_DATE=\"1454217774\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAaklEQVQ4jcVTQQ6AMAhrE3+z/z+F99STZgFUmCb2BKRkDe0Ak2AS/kNHQcJjhwwAGGQkevLcX9Xll++WTGIgeIlth5YWqrKTe/RdmDHI5xy8ciQjun47B9n1j9nSX6kcEkDMwYwQ2y8UOOxuEGmWPqTGTgAAAABJRU5ErkJggg==\"\u003eData Science Ontology\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://www.reddit.com/r/machinelearning\" ADD_DATE=\"1454218520\" ICON=\"data:image/png;base64,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\"\u003eReddit Machine Learning \u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://pjreddie.com/darknet/rnns-in-darknet/\" ADD_DATE=\"1454982815\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAT0lEQVQ4jcWTMQ4AIAgDr8av+Wofh6vGQQ2o3WAotAUBhgMZANvkkLDalQWSZzoEEOSpI431Qt5/CRc82I00aoMHMR4TwHCuK/z3QDjfuQHCjQvh+R3p6AAAAABJRU5ErkJggg==\"\u003eRNNs in Darknet\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://github.com/caesar0301/awesome-public-datasets\" ADD_DATE=\"1455033101\" ICON=\"data:image/png;base64,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\"\u003ecaesar0301/awesome-public-datasets: An awesome list of high-quality open datasets in public domains (on-going).\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://deeplearning4j.org/lstm.html\" ADD_DATE=\"1455595434\" ICON=\"data:image/png;base64,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\"\u003eA Beginner\u0026#39;s Guide to Recurrent Networks and LSTMs - Deeplearning4j: Open-source, distributed deep learning for the JVM\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.analyticsvidhya.com/blog/2015/08/common-machine-learning-algorithms/\" ADD_DATE=\"1455716048\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAIAAACQkWg2AAACKklEQVQ4jXWSzUvUURSGz7n3zqcDWoR9EDUunRT6Im1RLQo1i1YRgphEtMv+goqodZtsEVHSqmhjixS0RQmNQqGGZEok5YiIpGY6zqj87jlvi8EpwZ7lgcN7eJ/DAGgzxQkAZmbmQDUzMz80ljlSud/RfygsCXDrYWdP/9jMuv85Pd9xu9kAhM0QETETwEyqmtxbfvNaY1VyJ3kNhSwDSsRbn0SAwlo7M7d4+Mr9ij1lLY21DuCN/C0QBRvcfdaT3F128fSh2YVlQwQCEYhU6d8CQACFnM2u5F/0Dt+52hCPhJnJEREYBGJrQUSqzExEYFJR61xH94dd2xN1Nam5xawxhlRVfKDAUl/3auabioj3qioiIhJ4n2q69/R1PwAVAWAAELGsr648b891PiFjAAVIRJm5K/3ZMjXXHxNRBVTVkKqxNvfxbUnrDUQj+ZEBtiGoMBMzP+p8f/3SqUjICZSNMcwGhlX8+uTX+MGTifqm7JuXhhSAtXZwfHIpm798tkZEnTGFNo1huzY1YRKlNhaPVlQObqse+vSFnWPmx6/SLedqopGwQnnDlWGmtfHh2IGjxAxosu5CR9+oZZ6anc/MLrQ2HhdRa0zRrQuyvyW3HKtIkapXrdpXvqM00T86MTDy4/yJ6pJYJAi8c7aoh38N9DKbstoz4j2xYaaF5VxDW3s8Gu550BYNu8LD/hWan/4e5LMqKiKqEgQeQFd65N3gOIDAexUtAuAPzcdZk8CkpdIAAAAASUVORK5CYII=\"\u003eEssentials of Machine Learning Algorithms (with Python and R Codes)\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://wiki.python.org/moin/PythonForArtificialIntelligence\" ADD_DATE=\"1456502748\" ICON=\"data:image/png;base64,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\"\u003ePythonForArtificialIntelligence - Python Wiki\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://github.com/carpedm20/lstm-char-cnn-tensorflow\" ADD_DATE=\"1456854893\" ICON=\"data:image/png;base64,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\"\u003ecarpedm20/lstm-char-cnn-tensorflow: LSTM language model with CNN over characters in TensorFlow\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://github.com/kjw0612/awesome-rnn\" ADD_DATE=\"1456854908\" ICON=\"data:image/png;base64,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\"\u003ekjw0612/awesome-rnn: Recurrent Neural Network - A curated list of resources dedicated to RNN\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://github.com/sherjilozair/char-rnn-tensorflow\" ADD_DATE=\"1456854922\" ICON=\"data:image/png;base64,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\"\u003esherjilozair/char-rnn-tensorflow: Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://vision.stanford.edu/teaching/cs231n/syllabus.html\" ADD_DATE=\"1456854938\"\u003eStanford University CS231n: Convolutional Neural Networks for Visual Recognition\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.analyticsvidhya.com/blog/2015/07/top-youtube-videos-machine-learning-neural-network-deep-learning/?utm_content=buffer5a195\u0026utm_medium=social\u0026utm_source=plus.google.com\u0026utm_campaign=buffer\" ADD_DATE=\"1457858248\" ICON=\"data:image/png;base64,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\"\u003eTop Youtube Videos On Machine Learning, Neural Network \u0026amp; Deep Learning\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://blog.shakirm.com/\" ADD_DATE=\"1457976856\" ICON=\"data:image/png;base64,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\"\u003eThe Spectator ← Shakir\u0026#39;s Machine Learning Blog\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://people.duke.edu/~ccc14/sta-663/TextProcessingExtras.html\" ADD_DATE=\"1459050519\"\u003ePreprocessing text data — Computational Statistics in Python 0.1 documentation\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://analyticspro.org/2016/03/17/tutorial-beginner-to-advanced-machine-learning-in-15-hours/\" ADD_DATE=\"1459050642\" ICON=\"data:image/png;base64,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\"\u003eTutorial : Beginner to advanced machine learning in 15 hour Videos – AnalyticsPro : Analytics Tutorials for Data Science , BI \u0026amp; Big Data\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://nextbigfuture.com/2016/03/recurrent-neural-nets.html\" ADD_DATE=\"1459099270\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA3klEQVQ4jWNkgIJ/aUz/GUgATLP+MTIwMDAwkqMZ2RBGcjXDAAuGSEQPA4NFAgMDhwBC7MIGBoYlKQwMXz5gugJDs0MBqmYGBgYGgwAGhow1WF2AaoBFAoK9IAGCf0BtVXFgYJAxIOAFmM1rChgYTixBiCcsQLiEgYGB4ckFuBRqIM74g9WZGCADYS8THmVEAcxYYGCAeGHPFFQxlxwGhpAJBAz48QESDiETMKMMpvkHqjiqAScWQKKRgQERcOjgBKo4qgErSiA0ekKC2XxiAUINFFCclCnPTDAOudkZAEkvQ+XgMBz1AAAAAElFTkSuQmCC\"\u003eNext Big Future: Recurrent Neural Nets\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.datasciencecentral.com/profiles/blogs/must-know-tips-tricks-in-deep-neural-networks\" ADD_DATE=\"1460181920\" ICON=\"data:image/png;base64,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\"\u003eMust Know Tips/Tricks in Deep Neural Networks - Data Science Central\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://iamaaditya.github.io/2016/04/visual_question_answering_demo_notebook\" ADD_DATE=\"1460398667\"\u003eVisual Question Answering Demo in Python Notebook – Aaditya Prakash (Adi) – Random Musings of Computer Vision grad student\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://playground.tensorflow.org/\" ADD_DATE=\"1460563771\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAIAAACQkWg2AAAC6UlEQVQ4jU3S7WuVZRwH8O/vuq/73PfOOW5zYztbO2purVnq2dzANnEpHMfwAYtVFGoQkmX4tHdBSJAcCSKCYChoawURQ0V8UUvNLNZSM5PplrEHz2wbNdy0bee4cz9d168XvunzN3yorHl7znEXHAeA0hAESwopKNDsBJoBScRgAGHbzrMt6bhuoqZqfX3C9YOiPMPTmJh15xyVbxtLCy1T0JyjmDlkyr6btweG78rsQq65ofZo+1sAekYfXb6bWSztUmk6vp8Ncpuq8jdXRwAAOPzpiav9g5IgAt9zAnXg7Eg0Etn93JJKMWm79x2rZFjFj/fe6xkIPtq2TArDcT1BQmqwFZKp3pm1T5buqffx035kJxCNRzITa6LxE22p9y+7qR8mj26uZBADojgsu/uniwvCe9Y47uldWLruYfKr3uUfTie/RkmNf+q1I8mCP2a89FwQMYVmFr5iAexuWBR8/67VuPcbe8fWzrHOG4+2dk3+XHFIxFbhzhcbVyy7MDQXDgnNLLJu0PpsWUHuL9LB37GXjpzu73ix4svaC+1PjX387T9G9RaeSS/Pl/OOIgFmCLC2bZunbxmxFRdHnQ2r4w34LvPjJ313RlbWlPO/o2yG5gMYAsQAQRCR1gAJMAwBAGBDR8v37Wr7IHbRu3ZS1L3eOzJV90TU1UIAgkFQHpXWqenhlir7yp+T94peLqhtWXn1TXOw02rrODe+ZOphZlNl3vz4r4a0JUCkcmzFA4TKHvS0b2vd0XXrneS+jRvenlVW983ZG+n0sZ0JTn/GD4Zglkgi0swqUNz4nnvp4CvPF8ZfXdf1y/j5QU3gmvL8U28kFg12KG8Kz+yk37qlZm1btpSGLK7GC8dxLdUUu9K0PQkjBgqQuY7+SzBLRGPKvv651poK17aufrpqfX3C91wyI2BfD53hhfsyXKSVr5yMEW9CRbOpsn2/3x4YGaP/9yZowIC9GCDWPohImAhy7M2DjMe9/wPYZFjG7EJf1gAAAABJRU5ErkJggg==\"\u003eA Neural Network Playground\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.datasciencecentral.com/profiles/blogs/machine-learning-few-rarely-shared-trade-secrets#show-last-Point\" ADD_DATE=\"1460563778\" ICON=\"data:image/png;base64,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\"\u003eMachine Learning : Few rarely shared trade secrets - Data Science Central\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://russellsstewart.com/blog/0\" ADD_DATE=\"1461603063\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA9UlEQVQ4jY2T623DMAyEv6NcZ54myChFOmLcTYogA8VAxf6QI+thpz3ABkgdHydSur4dnQWuiNyw7OnxgyMp20N5KDcu830/GpjGMxCzbeXhX8GJc6ts2+E1iLh7VfmJoScnfA1H3JRrXObvzXrbCRykgC/V4am9x7YEpSDJF0r6AoHQTGhHgvEx30C114Hp8I7cCmaBaTwVXaxBLFIEfD7qKVQduGKdpMDlcQeBN013i5SaWseVNQuI9RZ2CcpFmsYTgUC0YvbWXEqbAMCJiHWlHdCLt9GNUY1L+fePBHsX+IrTSIhcxzPBk+7YVDZi2lBfNf0C2rtMCa4qKM8AAAAASUVORK5CYII=\"\u003eRussell Stewart- debug NN\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://tuhrig.de/extracting-meaningful-content-from-raw-html/\" ADD_DATE=\"1462067555\"\u003eExtracting meaningful content from raw HTML – Thomas Uhrig\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://russellsstewart.com/\" ADD_DATE=\"1462067616\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA9UlEQVQ4jY2T623DMAyEv6NcZ54myChFOmLcTYogA8VAxf6QI+thpz3ABkgdHydSur4dnQWuiNyw7OnxgyMp20N5KDcu830/GpjGMxCzbeXhX8GJc6ts2+E1iLh7VfmJoScnfA1H3JRrXObvzXrbCRykgC/V4am9x7YEpSDJF0r6AoHQTGhHgvEx30C114Hp8I7cCmaBaTwVXaxBLFIEfD7qKVQduGKdpMDlcQeBN013i5SaWseVNQuI9RZ2CcpFmsYTgUC0YvbWXEqbAMCJiHWlHdCLt9GNUY1L+fePBHsX+IrTSIhcxzPBk+7YVDZi2lBfNf0C2rtMCa4qKM8AAAAASUVORK5CYII=\"\u003eRussell Stewart\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://shapeofdata.wordpress.com/2015/10/20/recurrent-neural-networks/?utm_content=buffere978a\u0026utm_medium=social\u0026utm_source=twitter.com\u0026utm_campaign=buffer\" ADD_DATE=\"1462129901\" ICON=\"data:image/png;base64,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\"\u003eRecurrent Neural Networks | The Shape of Data\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://ml4a.github.io/classes/itp-S16/#show-last-Point\" ADD_DATE=\"1462129906\"\u003eITP-NYU - Spring 2016\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://mynoise.net/NoiseMachines/whiteRainNoiseGenerator.php\" ADD_DATE=\"1462325429\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAC1klEQVQ4jXWQTU+cZRSGr+d5PwZmGD4GOjADCAaYKVMxpguMicvuXLrSP+BPMf4I1y51rwttmlTTCkX6EatpYdIUKB+tw/B+Pe9zjgsm7jzJSe7kTu5z3cd0u1313pOIEKhSi2NcWVJ6TyWOASiKAmstcRzjnKMsS+K4grUG60pHdaLGF1tbfLqxQeIcc7MNtno9rLWICJ1Oh1arRZplNBoNer0eYRhQlp4ww/DV0jJfHhxyPj3F190ORX0Kq5b19TXK0tNsNgEwxrD6/ipqlGq1ysMHDwnVGOZVyY6PiMqc1oe3cY0as2bI4bDJ1fCSw8MDJibqLLQWGJwPOHt9xuL6IkEYEObDIfv1Ojc/3uZ4vMZFIHxzq89C9Iofjjb5dtcQWANGcVcF7e02U+0pKo8q5GlOaA0cn5zwXb9PPj7B5O0Os/kBXPZp2xmsXaFWnSEwEeE07Hy2w4sbL9ie3KbyfUzovWABHQyoRBEvzzMe6Ed0G0vc3Z/jRstw53Nh+Cbm5x8hkYS8yCmCHBRCUUVVwHA94vjp17+5n77hIAhYuuNI4nuE7Qb1+BM2dnvMd5vM7s2xl+0TqggqgOj1YjBlhk8u0GrK1cU8U2Md3HCWfwbKs53HnDx6TS+/RRAEIwIURDAqyIjGBBaM8PLPK+LxSYo05N15SjBjyKXAhBYVIfTeoyIYEVRkRCGoeIyB3A3Z299lLJrD2JuoXjdVUcQLVkYBiKCiePEogrGCiACG8bGYOA7xXhEV1Fz/zYvHelWMCGWWoUWOtRbEUboUawRjFOcSvM+xFkpK0jJFRgdsmWW8E2F+cZFqs0n/+BQdn2Fh6T3OEuHtaUprYZl6rcnRqzOmg2mWW0vYS0uaJYQB8MuTJxSbm5xeDth//hcuWWVtucXd35/h8gKrH/D2/JLHfzxnJVmhvbbI09+e4ighiiINgkABBTSKwv+0tVbD8P+9KIr0Xy/9iNLaag7WAAAAAElFTkSuQmCC\"\u003eWhite Rain Noise Generator | White Noise \u0026amp; Rain Combined\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/\" ADD_DATE=\"1462847659\" ICON=\"data:image/png;base64,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\"\u003eMachine Learning\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.foldl.me/2014/glove-python/\" ADD_DATE=\"1463319026\"\u003eA GloVe implementation in Python - foldl\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://timdettmers.com/2015/03/26/convolution-deep-learning/\" ADD_DATE=\"1463808987\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAC50lEQVQ4jS3RO28cVRiA4ff7zpmZvV+8tnEc2zIYEYVEjojcISQqCgr+Aw1NigiJkp9EQUMkiGggkQgRCK8TR7IJd9n4lvHu7M595lCYf/DqeeX33UcuyQviNCGcRcxmMUYVa5RpOCWezrl15xbXN6+TxRmeeEjlKKWklhIrahApcA6oawJPmYYh3z78hhd7zwkvQt7Zucu9+/fY2rpBlhRgBEVBFBVVRA3GGowKVAUPvvyC8Q+PsFlEz6v588Uun3/2KYfP9mg1AxwgqqgYLKqoKqpCv9Nm98lj0skr7n/yMSujBbI0xYny1dcPefr4O+7c3WGe54gogsOqKtbzMIXBik9glNtvvcntrU3Wlkf4vk8cJ1ycHJMZi3MVooKgqHNYEUGN4vkeFI7RwpDJP78x/ukpxesb9Id9xuNnmMrQ67XAgRPFIBgn/xcA1liqqmTY77M8GtFrWrI4JtKKYbdD0BriBsvkeY6qAedQHAoVzjlcXZNlKc12h0ajyds3b1IUORdn56ysrOA3ArrdHmoU52qcc+BA66ygzBLSOOZyGhFXcBol/Px8n5OzU8R5/HV0zv7f/9JbXaMSQQDnoBCDjZOYaD4nnFwSTqaUWUrQ7nLwxwE7N94gTlPCeUxsAjqDAWma49QiIjjnsMdnp0ymU6JZRJqVGIHFa2vYMuf7H3+hSmOW1zd594P3iKI5lQ2wQQtrzdXGi8sJeZGBCCKQFhWvwpCl4RLvf/gRDRU6gyEvj044TUqubWwyGFqMeIgqVqxBSyVOE4q8xliPdq9PUmRM8prO8iLjg5ektVDPMmZpwerqnI31dRqdDjaK5hRJjLqawBrE86nV0ux2mM2mPBnv02q3GCwukmQ5OMevh4ccHx2xvb2NDc9DVkZD6iK90jWKeD7OVTTabYKipDsYItZiqhpVxfM8yrxgb7yL+tbHVQ4rhmbQIPB8nKuxxoAqC0uvYYMmVQ1+o3klr4Zms0GeZfwHPVNdmv4qO90AAAAASUVORK5CYII=\"\u003eUnderstanding Convolution in Deep Learning - Tim Dettmers\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/\" ADD_DATE=\"1464200915\"\u003eThe Chars74K image dataset - Character Recognition in Natural Images\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://blog.shakirm.com/2015/05/a-statistical-view-of-deep-learning-iv-recurrent-nets-and-dynamical-systems/\" ADD_DATE=\"1464270846\" ICON=\"data:image/png;base64,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\"\u003eA Statistical View of Deep Learning (IV): Recurrent Nets and Dynamical Systems ← The Spectator\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://docs.google.com/presentation/d/1TVixw6ItiZ8igjp6U17tcgoFrLSaHWQmMOwjlgQY9co/edit#slide=id.g140797b42d_0_60\" ADD_DATE=\"1464278910\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAZ0lEQVQ4jWN8v55BgJWNYQPDfwZ7BlIAI8PB378YAhi/bGU4QLJmJEMYv2xh+E+WZihgokQzAwMDAwsyh9ubOMd83cpIPReMGkDtaESOHrq5gAoGMDIcJFs3I8NBpt+/GALIMgSanQGpUBodVGY3PwAAAABJRU5ErkJggg==\"\u003eTensorflow and deep learning - without a PhD - Google Slides\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://people.idsia.ch/~juergen/lstm/sld004.htm\" ADD_DATE=\"1464458318\"\u003eParity problem, sequential: 1 bit at a time\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://www.dataquest.io/blog/machine-learning-python/\" ADD_DATE=\"1465031159\" ICON=\"data:image/png;base64,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\"\u003eMachine learning with Python: A Tutorial\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://neuralnetworksanddeeplearning.com/\" ADD_DATE=\"1465033559\"\u003eNeural networks and deep learning\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://people.idsia.ch/~juergen/#show-last-Point\" ADD_DATE=\"1465038557\"\u003eJuergen Schmidhuber\u0026#39;s home page - Universal Artificial Intelligence - New AI - Deep Learning - Recurrent Neural Networks - Computer Vision - Object Detection - Image segmentation - Goedel Machine - Theory of everything - Algorithmic theory of everything -\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://lvdmaaten.github.io/tsne/\" ADD_DATE=\"1465744523\" ICON=\"data:image/png;base64,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\"\u003et-SNE – Laurens van der Maaten\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://cs224d.stanford.edu/\" ADD_DATE=\"1465914753\"\u003eStanford University CS224d: Deep Learning for Natural Language Processing\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml#show-last-Point\" ADD_DATE=\"1466097223\" ICON=\"data:image/png;base64,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\"\u003eMachine Learning 10-701/15-781: Lectures\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://rare-technologies.com/word2vec-tutorial/\" ADD_DATE=\"1466141654\" ICON=\"data:image/png;base64,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\"\u003eWord2vec Tutorial | RaRe Technologies\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://mlalgorithm.wordpress.com/category/machine-learning/page/2/\" ADD_DATE=\"1466916501\" ICON=\"data:image/png;base64,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\"\u003eMachine learning |\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://offbit.github.io/how-to-read/\" ADD_DATE=\"1466920667\" ICON=\"data:image/png;base64,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\"\u003eHow to read: Character level deep learning – Offbit\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://openai.com/blog/generative-models/#contributions\" ADD_DATE=\"1466927542\" ICON=\"data:image/png;base64,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\"\u003eGenerative Models\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://github.com/goodrahstar/python-machine-learning-book\" ADD_DATE=\"1466928321\" ICON=\"data:image/png;base64,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\"\u003egoodrahstar/python-machine-learning-book: The \u0026quot;Python Machine Learning\u0026quot; book code repository and info resource\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"https://medium.com/@monikkinom/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow-1907a5bbb1fa#.uxclzgse3\" ADD_DATE=\"1466932516\" ICON=\"data:image/png;base64,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\"\u003eA noob’s guide to implementing RNN-LSTM using Tensorflow — Medium\u003c/A\u003e\n- \u003cDT\u003e\u003cA HREF=\"http://danijar.com/structuring-your-tensorflow-models/\" ADD_DATE=\"1466962803\" ICON=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAC+UlEQVQ4jQXBy24bVQCA4f9c5uaxM06ci5WkKYrpnapqgbAJCBY8AGIJvEufhB2wZdVNNyAWFRISIVQI2CSEJHVMbGdsj2fOXM7h+8STTzy3LB3vH2wzzcYkXcP0tEuURFyU/zJPYfQXeFISbwpW","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoodrahstar%2Fmy-awesome-AI-bookmarks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgoodrahstar%2Fmy-awesome-AI-bookmarks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoodrahstar%2Fmy-awesome-AI-bookmarks/lists"}