- 01. Introducing Vincent!
- 02. What is Deep Learning?
- 03. Solving Problems - Big and Small
- 04. Let's Get Started!
- 05. Installing Tensorflow
- 06. Hello, Tensor World!
- 07. Transition to Classification
- 08. Classification
- 09. Let's make a deal
- 10. Training Your Logistic Classifier
- 11. Tensorflow Softmax
- 12. TensorFlow Cross-Entropy
- 13. Minimizing Cross Entropy
- 14. Practical Aspects of Learning
- 15. Quiz: Numerical Stability
- 16. Normalized Inputs and Initial Weights
- 17. Measuring Performance
- 18. Validation and Test Set Size
- 19. Quiz: Validation Set Size
- 20. Validation Set Size Continued
- 21. Optimizing a Logistic Classifier
- 22. Stochastic Gradient Descent
- 23. Momentum and Learning Rate Decay
- 24. Parameter Hyperspace!
- 25. Quiz: Mini-batch
- 26. Epochs
- 27. Lab: TensorFlow Neural Network
- 28. Understanding Jupyter Workspaces
- 29. Jupyter Workspace - TensorFlow