📚 Hands on Machine Learning with Scikit-Learn, Keras and TensorFlow, 2nd edition

2.2.4-tf is the version of the Keras API implemented by tf.keras. Note that it ends with -tf, highlighting the fact that tf.keras implements the Keras API, plus some extra TensorFlow-specific features.

About the book:

• Aurélien Géron's O'Reilly book
• Aurélien Géron's github repo

🎈 Content

I. The Fundamentals of Machine Learning

1. The Machine Learning Landscape
2. End-to-end Machine Learning Project
3. Classification
4. Training Models
5. Support Vector Machines
6. Decision Trees -- Exercise
7. Ensemble Learning and Random Forests -- Exercise
8. Dimensionaity Reduction
9. Unsupervised Learning Techniques

II. Neural Networks and Deep Learning

10. Introduction to Artificial Neural Networks with Keras
11. Training Deep Neural Networks
12. Custom Models and Training with TensorFlow
13. Loading and Preprocessing Data with TensorFlow
14. Deep Computer Vision Using Convolutional Neural Networks
15. Processing Sequences Using RNNs and CNNs
16. Natural Language Processing with RNNs and Attention
17. Representation Learning and Generative Learning Using Autoencoders and GANS
18. Reinforcement Learning
19. Training and Deploying TensorFlow Models at Scale