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  1. Урок 1.00:05:31
    Introduction
  2. Урок 2.00:07:37
    Machine Learning Overview
  3. Урок 3.00:04:02
    Pre-Trained Models Overview
  4. Урок 4.00:12:52
    Object Detection with TensorFlow.js
  5. Урок 5.00:12:16
    Using Webcam as Input
  6. Урок 6.00:10:33
    Using a Face Detection Model
  7. Урок 7.00:04:01
    Detecting Parts of the Face
  8. Урок 8.00:06:26
    Face Detection Demos and Q&A
  9. Урок 9.00:06:50
    Transfer Learning Overview
  10. Урок 10.00:08:19
    Training a Model with Teachable Machine
  11. Урок 11.00:13:42
    Using a Custom Trained Model
  12. Урок 12.00:14:47
    Running Predictions on a Loop
  13. Урок 13.00:09:57
    More Ways to Train Models
  14. Урок 14.00:06:25
    Training an Audio Model
  15. Урок 15.00:03:05
    Sound Model Demos
  16. Урок 16.00:17:33
    Loading the Model & Webcam
  17. Урок 17.00:16:05
    Recording Examples
  18. Урок 18.00:09:45
    TensorFlow Model Layers
  19. Урок 19.00:07:51
    Optimizing, Batching, & Training
  20. Урок 20.00:09:17
    Predictions from Live Webcam
  21. Урок 21.00:05:19
    Image Detector Project Setup
  22. Урок 22.00:04:01
    Clearing the Drawing
  23. Урок 23.00:13:10
    Collecting Shape Training Data
  24. Урок 24.00:12:17
    Building Training & Testing Datasets
  25. Урок 25.00:15:26
    Image Model Layers
  26. Урок 26.00:11:08
    Training the Model with Image Data
  27. Урок 27.00:05:48
    Saving the Model Data
  28. Урок 28.00:04:04
    Model Summary
  29. Урок 29.00:16:01
    Using the Model in the Browser
  30. Урок 30.00:07:54
    Wrapping Up