Deep Understanding of MNIST Problem and Its CNN Solution Using CNN Explainer

Deep Understanding of MNIST Problem and Its CNN Solution Using CNN Explainer

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- Batch Size and epochs

17 of 28

17 of 28

- Batch Size and epochs

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Classroom Contents

Deep Understanding of MNIST Problem and Its CNN Solution Using CNN Explainer

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  1. 1 - MNIST Tutorial Starts
  2. 2 - Google Colab notebook
  3. 3 - Coding Keras Mnist solution
  4. 4 - Running Keras Solution
  5. 5 - Assistance for Beginners
  6. 6 - Model Compile
  7. 7 - Model Training
  8. 8 - Restarting from Top
  9. 9 - Understanding Classes
  10. 10 - Introducing CNN Explainer
  11. 11 - Source Dataset
  12. 12 - Loading Source Dataset
  13. 13 - Train and Test Dataset
  14. 14 - Source image dimension formatting
  15. 15 - Format Target Categorical
  16. 16 - CNN Config
  17. 17 - Batch Size and epochs
  18. 18 - Model Recompilation
  19. 19 - Model Re-training start
  20. 20 - Cross-Validation
  21. 21 - CNN Explainer Assistance
  22. 22 - Flatten
  23. 23 - Using Bias Setting
  24. 24 - Dropout
  25. 25 - Final Dense output layer
  26. 26 - Evaluate Model
  27. 27 - Source Code at GitHub
  28. 28 - RECAP

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