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  1. Урок 1. 00:06:34
    Introduction
  2. Урок 2. 00:05:45
    Jupyter Notebook & TensorFlow
  3. Урок 3. 00:03:46
    Machine Learning Demo
  4. Урок 4. 00:03:39
    Deep Learning, Machine Learning, & Neural Networks Resources
  5. Урок 5. 00:04:29
    Statistics & Machine Learning
  6. Урок 6. 00:08:48
    Neurons & Neuron Layers
  7. Урок 7. 00:06:28
    Deep Learning
  8. Урок 8. 00:07:13
    Neurons & Model Training
  9. Урок 9. 00:04:30
    Training Models
  10. Урок 10. 00:06:10
    Deep Learning & AI
  11. Урок 11. 00:07:19
    AI Modeling Demo
  12. Урок 12. 00:06:27
    Combining Neural Networks & AI
  13. Урок 13. 00:06:00
    Jupyter Notebook Setup
  14. Урок 14. 00:05:03
    Hardware & Compiler
  15. Урок 15. 00:13:15
    Tensorflow Architecture
  16. Урок 16. 00:04:40
    Plotting Uniform Data
  17. Урок 17. 00:09:34
    Plotting Data with Noise
  18. Урок 18. 00:10:02
    Predicting Data with TensorFlow
  19. Урок 19. 00:05:27
    Visualizing Learning Rate & Loss
  20. Урок 20. 00:14:06
    Learning Rate & Gradients
  21. Урок 21. 00:09:08
    Learning Rate vs Steps
  22. Урок 22. 00:09:57
    Image Processing with Keras
  23. Урок 23. 00:07:16
    Creating a 2D Image Model
  24. Урок 24. 00:04:12
    Sigmoid vs. ReLU
  25. Урок 25. 00:03:32
    Softmax
  26. Урок 26. 00:08:10
    Understanding the Model
  27. Урок 27. 00:06:34
    Defining the Solver & Loss Function
  28. Урок 28. 00:10:06
    Training a Model
  29. Урок 29. 00:09:42
    Comparing Different Models
  30. Урок 30. 00:08:09
    Principal Component Analysis
  31. Урок 31. 00:07:33
    Convolutions & Pooling Definitions
  32. Урок 32. 00:01:22
    Adding Convolutions & Pooling
  33. Урок 33. 00:15:38
    Diagramming Convolutions & Pooling
  34. Урок 34. 00:11:16
    Visualizing Convolutional Operations
  35. Урок 35. 00:07:59
    Predicting, Saving & Loading Models
  36. Урок 36. 00:14:05
    Neural Network Attention
  37. Урок 37. 00:04:29
    Bias in Training Data Sets
  38. Урок 38. 00:09:32
    Detecting Good & Bad Reviews
  39. Урок 39. 00:11:05
    Natural Language Processing
  40. Урок 40. 00:06:12
    Sentiment Analysis
  41. Урок 41. 00:10:57
    Long Short Term Memory
  42. Урок 42. 00:05:43
    Reinforcement Learning
  43. Урок 43. 00:01:24
    Wrapping Up