{"id":15626935,"url":"https://github.com/sayakpaul/tf-2.0-hacks","last_synced_at":"2025-04-06T13:12:15.285Z","repository":{"id":106650261,"uuid":"185827629","full_name":"sayakpaul/TF-2.0-Hacks","owner":"sayakpaul","description":"Contains my explorations of TensorFlow 2.x","archived":false,"fork":false,"pushed_at":"2022-07-15T04:28:20.000Z","size":32475,"stargazers_count":380,"open_issues_count":0,"forks_count":81,"subscribers_count":24,"default_branch":"master","last_synced_at":"2025-03-30T12:08:06.078Z","etag":null,"topics":["deep-learning","neural-networks","tensorflow-2"],"latest_commit_sha":null,"homepage":"https://www.tensorflow.org","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sayakpaul.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2019-05-09T15:41:39.000Z","updated_at":"2025-01-10T00:06:52.000Z","dependencies_parsed_at":null,"dependency_job_id":"e62e0064-5525-42eb-be0c-2710ea8b3336","html_url":"https://github.com/sayakpaul/TF-2.0-Hacks","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/sayakpaul%2FTF-2.0-Hacks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayakpaul%2FTF-2.0-Hacks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayakpaul%2FTF-2.0-Hacks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sayakpaul%2FTF-2.0-Hacks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sayakpaul","download_url":"https://codeload.github.com/sayakpaul/TF-2.0-Hacks/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247485290,"owners_count":20946398,"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","neural-networks","tensorflow-2"],"created_at":"2024-10-03T10:14:29.368Z","updated_at":"2025-04-06T13:12:15.264Z","avatar_url":"https://github.com/sayakpaul.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"![](https://i.ibb.co/LJdwtJ8/TF-Full-Color-Primary-Horizontal.png)\n\nThis respository contains my exploration of the newly released [TensorFlow 2.0](http://tensflow.org/). TensorFlow team introduced a lot of new and useful changes in this release; automatic mixed precision training, flexible custom  training, distributed GPU training, enhanced ops for the high-level Keras API are some of my personal favorites. \nYou can see all of the new changes [here](https://www.youtube.com/watch?v=kPweUtct2yY). \n\nApart from the official TensorFlow 2.0 [guides](https://www.tensorflow.org/guide) and the [tutorials](https://www.tensorflow.org/tutorials), I highly recommend the following resources if you want to learn more about TensorFlow 2.0 (updated on an ad-hoc basis):\n\n- [tf.keras for Researchers: Crash Course](https://colab.research.google.com/drive/17u-pRZJnKN0gO5XZmq8n5A2bKGrfKEUg) by Francois Chollet\n- [TensorFlow 2.0 + Keras Crash Course](https://colab.research.google.com/drive/1UCJt8EYjlzCs1H1d1X0iDGYJsHKwu-NO) by Francois Chollet\n- [Introduction to Keras for Researchers](https://colab.research.google.com/drive/169PfzM0kvtA5UP4k6Sl1yCG9tsE2MLia) by Francois Chollet\n- [Introduction to Keras for Engineers](https://colab.research.google.com/drive/1lWUGZarlbORaHYUZlF9muCgpPl8pEvve) by Francois Chollet\n- [Inside TensorFlow: tf.Keras (part 1)](https://youtu.be/UYRBHFAvLSs) by Francois Chollet\n- [Inside TensorFlow: tf.Keras (part 2)](https://www.youtube.com/watch?v=uhzGTijaw8A) by Francois Chollet\n- [keras.io exmples](https://keras.io/examples)\n- [keras.io guides](https://keras.io/guides)\n- [Deep Learning with Python (second edition)](https://www.manning.com/books/deep-learning-with-python) by Francois Chollet\n- [Introduction to TensorFlow in Python](https://www.datacamp.com/courses/introduction-to-tensorflow-in-python?tap_a=5644-dce66f\u0026tap_s=357540-5b28dd) by DataCamp (Instructor: Isaiah Hull)\n- [Ten Important Updates from TensorFlow 2.0](https://www.datacamp.com/community/tutorials/ten-important-updates-tensorflow) (article by me)\n- [Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow](https://www.amazon.in/Hands-Machine-Learning-Scikit-Learn-Tensor/dp/9352139054) (best-selling book by Aurélien Géron)\n- [Deep Learning for Computer Vision with Python](https://www.pyimagesearch.com/deep-learning-computer-vision-python-book/) by Adrian Rosebrock\n- [Intro to TensorFlow for Deep Learning](https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187) by Udacity (Instructors: Magnus Hyttsten, Juan Delgado, Paige Bailey)\n- [Intro to Machine Learning with TensorFlow Nanodegree](https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--nd230)\n- [Practical Machine Learning with Tensorflow](https://www.youtube.com/playlist?list=PLOzRYVm0a65cTV_t0BYj-nV8VX_Me6Es3) by NPTEL (Instructor: Ashish Tendulkar)\n- [Hands-On Neural Networks with TensorFlow 2.0](https://www.amazon.com/Hands-Neural-Networks-Tensorflow-2-0-dp-1789615550/dp/1789615550/) (book by Paolo Galeone)\n- [DeepLearning.AI TensorFlow Developer Professional Certificate](https://www.coursera.org/professional-certificates/tensorflow-in-practice) (previously known as _TensorFlow in Practice_)\n- [TensorFlow: Data and Deployment Specialization](https://www.coursera.org/specializations/tensorflow-data-and-deployment) by deeplearning.ai\n- [TensorFlow 2 for Deep Learning Specialization](https://www.coursera.org/specializations/tensorflow2-deeplearning) by Imperial College of London\n- [Keras vs. tf.keras: What’s the difference in TensorFlow 2.0?](https://www.pyimagesearch.com/2019/10/21/keras-vs-tf-keras-whats-the-difference-in-tensorflow-2-0/) by PyImageSearch\n- [Introduction to TensorFlow Lite](https://www.udacity.com/course/intro-to-tensorflow-lite--ud190)\n- [Intro to Machine Learning with TensorFlow Nanodegree](https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--nd230)\n- [freeCodeCamp's Python Machine Learning course with TensorFlow 2.0](https://www.freecodecamp.org/news/massive-tensorflow-2-0-free-course/)\n- [TensorFlow: Advanced Techniques Specialization](https://www.coursera.org/specializations/tensorflow-advanced-techniques) by deeplearning.ai\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsayakpaul%2Ftf-2.0-hacks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsayakpaul%2Ftf-2.0-hacks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsayakpaul%2Ftf-2.0-hacks/lists"}