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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