Intro to TensorFlow
Back to Home
01. What is Deep Learning
02. Solving Problems - Big and Small
03. Let's Get Started
04. Installing TensorFlow
05. Hello, Tensor World!
06. Transition to Classification
07. Supervised Classification
08. Training Your Logistic Classifier
09. Quiz: TensorFlow Linear Function
10. Quiz: TensorFlow Softmax
11. ReLU and Softmax Activation Functions
12. One-Hot Encoding
13. Quiz: TensorFlow Cross Entropy
14. Minimizing Cross Entropy
15. Categorical Cross-Entropy
16. Practical Aspects of Learning
17. Quiz: Numerical Stability
18. Normalized Inputs and Initial Weights
19. Measuring Performance
20. Optimizing a Logistic Classifier
21. Stochastic Gradient Descent
22. Momentum and Learning Rate Decay
23. Parameter Hyperspace
24. Quiz: Mini-batch
25. Epochs
Back to Home
19. Measuring Performance
21 L Measuring Performance
Next Concept