TensorFlow

Back to Home

01. Deep Learning Frameworks
02. Introduction to Deep Neural Networks
03. What is Deep Learning?
04. Solving Problems - Big and Small
05. Let's Get Started!
06. Installing TensorFlow
07. Hello, Tensor World!
08. Quiz: Tensorflow Input
09. Quiz: Tensorflow Math
10. Transition to Classification
11. Supervised Classification
12. Let's make a deal
13. Training Your Logistic Classifier
14. TensorFlow Linear Function
15. Quiz: Linear Function
16. Linear Update
17. Quiz: Softmax
18. Quiz: TensorFlow Softmax Workspaces
19. One-Hot Encoding
20. Quiz: One-Hot Encoding
21. Cross Entropy
22. Minimizing Cross Entropy
23. Practical Aspects of Learning
24. Quiz: Numerical Stability
25. Normalized Inputs and Initial Weights
26. Measuring Performance
27. Transition: Overfitting -> Dataset Size
28. Validation and Test Set Size
29. Validation Set Size
30. Validation Test Set Size Continued
31. Optimizing a Logistic Classifier
32. Stochastic Gradient Descent
33. Momentum and Learning Rate Decay
34. Parameter Hyperspace!
35. Mini-batch
36. Quiz 2: Mini-batch
37. Epochs
38. Intro TensorFlow Neural Network
39. Lab: Neural Network Workspaces

Back to Home

23. Practical Aspects of Learning

17 L Transition Into Practical Aspects Of Learning

% buffered00:00

00:00

udacity2.0 If you need the newest courses Plase add me wechat: udacity6