TF 2.0 Hacks Save

This respository contains my exploration of the newly released TensorFlow 2.0. 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.

Apart from the official TensorFlow 2.0 guides and the 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 by Francois Chollet
• TensorFlow 2.0 + Keras Crash Course by Francois Chollet
• Introduction to Keras for Researchers by Francois Chollet
• Introduction to Keras for Engineers by Francois Chollet
• Inside TensorFlow: tf.Keras (part 1) by Francois Chollet
• Inside TensorFlow: tf.Keras (part 2) by Francois Chollet
• keras.io exmples
• keras.io guides
• Deep Learning with Python (second edition) by Francois Chollet
• Introduction to TensorFlow in Python by DataCamp (Instructor: Isaiah Hull)
• Ten Important Updates from TensorFlow 2.0 (article by me)
• Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow (best-selling book by Aurélien Géron)
• Deep Learning for Computer Vision with Python by Adrian Rosebrock
• Intro to TensorFlow for Deep Learning by Udacity (Instructors: Magnus Hyttsten, Juan Delgado, Paige Bailey)
• Intro to Machine Learning with TensorFlow Nanodegree
• Practical Machine Learning with Tensorflow by NPTEL (Instructor: Ashish Tendulkar)
• Hands-On Neural Networks with TensorFlow 2.0 (book by Paolo Galeone)
• DeepLearning.AI TensorFlow Developer Professional Certificate (previously known as TensorFlow in Practice)
• TensorFlow: Data and Deployment Specialization by deeplearning.ai
• TensorFlow 2 for Deep Learning Specialization by Imperial College of London
• Keras vs. tf.keras: What’s the difference in TensorFlow 2.0? by PyImageSearch
• Introduction to TensorFlow Lite
• Intro to Machine Learning with TensorFlow Nanodegree
• freeCodeCamp's Python Machine Learning course with TensorFlow 2.0
• TensorFlow: Advanced Techniques Specialization by deeplearning.ai