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
04. Solving Problems - Big and Small
Solving Problems - Big And Small
Pause
Play
% buffered
00:00
00:00
Unmute
Mute
Disable captions
Enable captions
Settings
Captions
Disabled
Quality
undefined
Speed
Normal
Captions
Go back to previous menu
Disabled
en
EN
JP
JP
BR
BR
CN
CN
Quality
Go back to previous menu
Speed
Go back to previous menu
0.5×
0.75×
Normal
1.25×
1.5×
1.75×
2×
Exit fullscreen
Enter fullscreen
Play
Next Concept