TensorFlow for Deep Learning
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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
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02. What is Deep Learning?
What Is Deep Learning
INSTRUCTOR NOTE:
Deep Learning on Wikipedia