This page is a compilation of learning resources for modern Keras / TensorFlow 2.0 best practices.
Notes that best starter resources are still our developer guides, our official code examples,
as well as the tutorials on tensorflow.org.
If this is your first contact with Keras, you can also check out the guides
Introduction to Keras for researchers and
Introduction to Keras for engineers.
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (second edition), by Aurélien Géron
- Deep Learning with Python (second edition), by François Chollet
- Practical Deep Learning for Cloud, Mobile, and Edge, by Anirudh Koul, Siddha Ganju, and Meher Kasam
- Deep Learning for Computer Vision with Python, by Adrian Rosebrock