{"id":15641613,"url":"https://github.com/hereismari/deeplearning","last_synced_at":"2025-04-30T09:11:35.779Z","repository":{"id":88345641,"uuid":"82596271","full_name":"hereismari/DeepLearning","owner":"hereismari","description":" This repository keeps track of my path towards understanding Deep Learning concepts (mainly with TensorFlow).","archived":false,"fork":false,"pushed_at":"2020-09-24T20:48:04.000Z","size":14446,"stargazers_count":72,"open_issues_count":1,"forks_count":18,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-30T14:41:41.660Z","etag":null,"topics":["deep-learning","education","neural-network","tensorflow","tutorial"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/hereismari.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-02-20T19:52:03.000Z","updated_at":"2025-03-21T09:42:55.000Z","dependencies_parsed_at":null,"dependency_job_id":"62773bda-b932-4bea-9443-3703ad86609c","html_url":"https://github.com/hereismari/DeepLearning","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/hereismari%2FDeepLearning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereismari%2FDeepLearning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereismari%2FDeepLearning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hereismari%2FDeepLearning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hereismari","download_url":"https://codeload.github.com/hereismari/DeepLearning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251674577,"owners_count":21625644,"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":["deep-learning","education","neural-network","tensorflow","tutorial"],"created_at":"2024-10-03T11:43:39.600Z","updated_at":"2025-04-30T09:11:35.760Z","avatar_url":"https://github.com/hereismari.png","language":"Jupyter Notebook","readme":"# DeepLearning: [bit.ly/awesome-dl](https://bit.ly/awesome-dl)\n\nThis repository keeps track of my path towards understanding Deep Learning concepts (mainly with TensorFlow).\n\n## What can you find here?\n\n* Links to my personal projects while learning Deep Learning and Tensorflow\n* Links for online resources to get started with Deep Learning and TensorFlow\n\n## Personal Projects\n\n* [Getting Started with Deep Learning with MNIST](https://github.com/mari-linhares/mnist-tensorflow)  \n* [MNIST running on Android](https://github.com/mari-linhares/mnist-android-tensorflow)  \n* [Exploring Spiral Dataset](exploring-spiral-dataset/)  \n* [Vanilla GANs for fashion MNIST](GAN-fashion-MNIST/)\n* [Easy 21 - Getting started with Reinforcement Learning](https://github.com/mari-linhares/easy21)\n* [TensorFlow Brasil - A repository for TensorFlow code samples and tutorials in Portuguese](https://github.com/mari-linhares/tensorflow-brasil)\n* [Teachable games - Using DeepLearnJS to play games just using a camera](https://github.com/mari-linhares/teachable-machine-games)\n* [Modified version of text generation tutorial including fun examples](https://github.com/mari-linhares/tf-eager-text-generation)\n\n## Get Started with Deep Learning and TensorFlow\n\nGo to [bit.ly/awesome-dl](https://bit.ly/awesome-dl)\n\n### DL and ML 101: blog posts and videos to get started\n\n* [A friendly introduction to Deep Learning and Neural Networks](https://www.youtube.com/watch?v=BR9h47Jtqyw)  \n* [How Deep Neural Networks Work](https://www.youtube.com/watch?v=ILsA4nyG7I0)  \n* [Tensorflow and deep learning, without a PhD, Martin Gorner, Google](https://www.youtube.com/watch?v=sEciSlAClL8\u0026t=2163s)\n* [TensorFlow Tutorial (Sherry Moore, Google Brain)](https://www.youtube.com/watch?v=Ejec3ID_h0w).  \n\n### Math for Deep Learning and Machine Learning\n\n* [The Matrix Calculus You Need For Deep Learning](https://arxiv.org/abs/1802.01528)  \n* [3Blue1Brown Youtube Channel](https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw)\n\n### CNNs - Convolutional Neural Networks\n* [How Convolutional Neural Networks work](https://www.youtube.com/watch?v=FmpDIaiMIeA\u0026t=1s)  \n\n### RNNs - Recurrent Neural Networks\n\n* [Understanding LSTM Networks](http://colah.github.io/posts/2015-08-Understanding-LSTMs/)  \n* [The Unreasonable Effectiveness of Recurrent Neural Networks](http://karpathy.github.io/2015/05/21/rnn-effectiveness/)  \n\n### GANs - Generative Adversarial Networks\n\n* [Original Paper](https://arxiv.org/abs/1406.2661)\n* [Introduction to GANs (Keras)](https://www.analyticsvidhya.com/blog/2017/06/introductory-generative-adversarial-networks-gans/)  \n* [GANs for beginners (TensorFlow)](https://www.oreilly.com/learning/generative-adversarial-networks-for-beginners)  \n* [Blog post about the different kinds of GANs](http://guimperarnau.com/blog/2017/03/Fantastic-GANs-and-where-to-find-them)  \n* [DCGAN implementation on TensorFlow](https://github.com/carpedm20/DCGAN-tensorflow)  \n* [Generative models implementation (TensorFlow, Pytorch)](https://github.com/wiseodd/generative-models/)\n\n\n### RL - Reinforcement Learning\n\n* [Full Course by David Silver](https://www.youtube.com/watch?v=2pWv7GOvuf0\u0026list=PLzuuYNsE1EZAXYR4FJ75jcJseBmo4KQ9)  \n\n### Blogs\n\n* [Colah's Blog](http://colah.github.io/)  \n* [Open AI](https://blog.openai.com/)\n* [Fast AI](http://www.fast.ai/)\n\n### University Courses\n\n* [CS 20SI: TensorFlow for Deep Learning Research](http://web.stanford.edu/class/cs20si/syllabus.html)  \n* [CS231n: Convolutional Neural Networks for Visual Recognition](http://cs231n.github.io/)  \n* [MIT 6.S094: Deep Learning for Self-Driving Cars](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)\n\n### Youtube series\n\n* [Siraj Raval](https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A)  \n* [sentdex](https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ)  \n* [Hvass Lab](https://www.youtube.com/user/hvasslabs/videos)  \n* [Google Dev - Machine Learning Recipes](https://www.youtube.com/watch?v=cKxRvEZd3Mw\u0026index=7\u0026list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal)  \n* [3Blue1Brown](https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw)  \n\n### GO DEEP - learn more about deep learning in 1 or 2 months\n\n* [How do I learn deep learning in 2 months](https://www.quora.com/How-do-I-learn-deep-learning-in-2-months)  \n* [Learn deep learning, from novice to advanced](https://www.commonlounge.com/discussion/81f5bbcfea4e44b9b2bd081d1ea536ac/main)  \n\n\n### Advanced tutorials\n\n* [Jason Mayes - Rock Paper Scissors - Machine Learning Style using Tensor Flow](https://www.youtube.com/watch?v=mtRDNDqjUzM)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhereismari%2Fdeeplearning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhereismari%2Fdeeplearning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhereismari%2Fdeeplearning/lists"}