Book Content
chapters • 13h52m total length
1. Getting Started with TensorFlow 2.x
2. The TensorFlow Way
3. Keras
4. Linear Regression
5. Boosted Trees
6. Neural Networks
7. Predicting with Tabular Data
8. Convolutional Neural Networks
9. Recurrent Neural Networks
10. Transformers
11. Reinforcement Learning with TensorFlow and TF-Agents
12. Taking TensorFlow to Production
