1. Welcome | ||
10. GANs (Generative Adversarial Networks) | ||
11. Deep Reinforcement Learning (Theory) | ||
12. Stock Trading Project with Deep Reinforcement Learning | ||
13. Advanced Tensorflow Usage | ||
14. Low-Level Tensorflow | ||
15. In-Depth Loss Functions | ||
16. In-Depth Gradient Descent | ||
17. Extras | ||
18. Setting up your Environment | ||
19. Extra Help With Python Coding for Beginners | ||
2. Google Colab | ||
20. Effective Learning Strategies for Machine Learning | ||
21. Appendix FAQ | ||
3. Machine Learning and Neurons | ||
4. Feedforward Artificial Neural Networks | ||
5. Convolutional Neural Networks | ||
6. Recurrent Neural Networks, Time Series, and Sequence Data | ||
7. Natural Language Processing (NLP) | ||
8. Recommender Systems | ||
9. Transfer Learning for Computer Vision | ||
Readme.txt |