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https://github.com/sayakpaul/TF-2.0-Hacks

Contains my explorations of TensorFlow 2.x
https://github.com/sayakpaul/TF-2.0-Hacks

deep-learning neural-networks tensorflow-2

Last synced: 3 days ago
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Contains my explorations of TensorFlow 2.x

Host: GitHub
URL: https://github.com/sayakpaul/TF-2.0-Hacks
Owner: sayakpaul
License: apache-2.0
Created: 2019-05-09T15:41:39.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2022-07-15T04:28:20.000Z (over 2 years ago)
Last Synced: 2024-11-07T02:29:03.121Z (7 days ago)
Topics: deep-learning, neural-networks, tensorflow-2
Language: Jupyter Notebook
Homepage: https://www.tensorflow.org
Size: 31 MB
Stars: 382
Watchers: 25
Forks: 81
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        ![](https://i.ibb.co/LJdwtJ8/TF-Full-Color-Primary-Horizontal.png)

This 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. 

You can see all of the new changes [here](https://www.youtube.com/watch?v=kPweUtct2yY). 

Apart 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):

- [tf.keras for Researchers: Crash Course](https://colab.research.google.com/drive/17u-pRZJnKN0gO5XZmq8n5A2bKGrfKEUg) by Francois Chollet

- [TensorFlow 2.0 + Keras Crash Course](https://colab.research.google.com/drive/1UCJt8EYjlzCs1H1d1X0iDGYJsHKwu-NO) by Francois Chollet

- [Introduction to Keras for Researchers](https://colab.research.google.com/drive/169PfzM0kvtA5UP4k6Sl1yCG9tsE2MLia) by Francois Chollet

- [Introduction to Keras for Engineers](https://colab.research.google.com/drive/1lWUGZarlbORaHYUZlF9muCgpPl8pEvve) by Francois Chollet

- [Inside TensorFlow: tf.Keras (part 1)](https://youtu.be/UYRBHFAvLSs) by Francois Chollet

- [Inside TensorFlow: tf.Keras (part 2)](https://www.youtube.com/watch?v=uhzGTijaw8A) by Francois Chollet

- [keras.io exmples](https://keras.io/examples)

- [keras.io guides](https://keras.io/guides)

- [Deep Learning with Python (second edition)](https://www.manning.com/books/deep-learning-with-python) by Francois Chollet

- [Introduction to TensorFlow in Python](https://www.datacamp.com/courses/introduction-to-tensorflow-in-python?tap_a=5644-dce66f&tap_s=357540-5b28dd) by DataCamp (Instructor: Isaiah Hull)

- [Ten Important Updates from TensorFlow 2.0](https://www.datacamp.com/community/tutorials/ten-important-updates-tensorflow) (article by me)

- [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)

- [Deep Learning for Computer Vision with Python](https://www.pyimagesearch.com/deep-learning-computer-vision-python-book/) by Adrian Rosebrock

- [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)

- [Intro to Machine Learning with TensorFlow Nanodegree](https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--nd230)

- [Practical Machine Learning with Tensorflow](https://www.youtube.com/playlist?list=PLOzRYVm0a65cTV_t0BYj-nV8VX_Me6Es3) by NPTEL (Instructor: Ashish Tendulkar)

- [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)

- [DeepLearning.AI TensorFlow Developer Professional Certificate](https://www.coursera.org/professional-certificates/tensorflow-in-practice) (previously known as _TensorFlow in Practice_)

- [TensorFlow: Data and Deployment Specialization](https://www.coursera.org/specializations/tensorflow-data-and-deployment) by deeplearning.ai

- [TensorFlow 2 for Deep Learning Specialization](https://www.coursera.org/specializations/tensorflow2-deeplearning) by Imperial College of London

- [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

- [Introduction to TensorFlow Lite](https://www.udacity.com/course/intro-to-tensorflow-lite--ud190)

- [Intro to Machine Learning with TensorFlow Nanodegree](https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--nd230)

- [freeCodeCamp's Python Machine Learning course with TensorFlow 2.0](https://www.freecodecamp.org/news/massive-tensorflow-2-0-free-course/)

- [TensorFlow: Advanced Techniques Specialization](https://www.coursera.org/specializations/tensorflow-advanced-techniques) by deeplearning.ai