Book Content
chapters • 17h52m total length
1. Initial steps in Tensorflow 1.x
2. Regression
3. Neural Networks: Perceptrons
4. Convolutional Neural Network
5. CNN in Action
6. Recurrent Neural Networks
7. Unsupervised Learning
8. Autoencoders
9. Reinforcement Learning
10. Tensorflow Mobile
11. Generative Adverasial Networks
12. Deep Learning on Cloud
13. Appendix
14. Appendix B : Learning to Learn with AutoML (or what is Meta-Learning)
