- 01. Non-linear Data
- 02. Continuous Perceptrons
- 03. Non-Linear Models
- 04. Neural Network Architecture
- 05. Feedforward
- 06. Backpropagation
- 07. Keras
- 08. Pre-Lab: Student Admissions in Keras
- 09. Lab: Student Admissions in Keras
- 10. Training Optimization
- 11. Early Stopping
- 12. Regularization
- 13. Regularization 2
- 14. Dropout
- 15. Local Minima
- 16. Vanishing Gradient
- 17. Other Activation Functions
- 18. Batch vs Stochastic Gradient Descent
- 19. Learning Rate Decay
- 20. Random Restart
- 21. Momentum
- 22. Optimizers in Keras
- 23. Error Functions Around the World
- 24. Neural Network Regression
- 25. Neural Networks Playground
- 26. Mini Project Intro
- 27. Pre-Lab: IMDB Data in Keras
- 28. Lab: IMDB Data in Keras
- 29. Outro