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