Train Machine Learning model with IBM Watson, Core ML, Swift

Anoop Tomar

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18 Lessons (2h 11m)
    • 1. IBM Watson

      2:55
    • 2. Registration to Watson API

      8:54
    • 3. Training your first Machine Learning Model

      6:04
    • 4. iPhone App Launch Screen

      4:12
    • 5. App UI/UX Design

      9:59
    • 6. Working with Image Picker

      7:19
    • 7. Integrating CoreML & Trained Model

      15:29
    • 8. Demo of second app to classify traffic signs

      2:26
    • 9. Launch Screen Design for Traffic Sign Classification

      5:16
    • 10. Model Training for Traffic Sign Classification

      9:17
    • 11. Completed Model Training

      1:59
    • 12. Developing Mobile App to classify traffic signs

      23:42
    • 13. Demo app for Dog Breed Classification

      1:09
    • 14. Model Training for Dog Breed Classification

      2:12
    • 15. Dog Breed Classification app design

      9:04
    • 16. Model Training for Rare Coin Image Classification

      1:15
    • 17. Rare Coin Classification: App

      10:53
    • 18. Chocolate type Classification

      8:32

Project Description

Please find assets attached for sample app. You should be able to train model using images that you will be downloading as shown in videos but please feel free to message me if you need more help or have any questions.

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