Convolution in Two Dimensions

Convolution in Two Dimensions

Brandon Rohrer via YouTube Direct link

Build a 2D convolutional neural network, part 2: Overview

5 of 20

5 of 20

Build a 2D convolutional neural network, part 2: Overview

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Classroom Contents

Convolution in Two Dimensions

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  1. 1 How Convolution Works
  2. 2 The Softmax neural network layer
  3. 3 Batch normalization
  4. 4 Build a 2D convolutional neural network, part 1: Getting started
  5. 5 Build a 2D convolutional neural network, part 2: Overview
  6. 6 Build a 2D convolutional neural network, part 3: MNIST digits
  7. 7 Build a 2D convolutional neural network, part 4: Model overview
  8. 8 Build a 2D convolutional neural network, part 5: Pre-trained model results
  9. 9 Build a 2D convolutional neural network, part 6: Examples of successes and failures
  10. 10 Build a 2D convolutional neural network, part 7: Why Cottonwood?
  11. 11 Build a 2D convolutional neural network, part 8: Training code setup
  12. 12 Build a 2D convolutional neural network, part 9: Adding layers
  13. 13 Build a 2D convolutional neural network, part 10: Connecting layers
  14. 14 Build a 2D convolutional neural network, part 11: The training loop
  15. 15 Build a 2D convolutional neural network, part 12: Testing loop
  16. 16 Build a 2D convolutional neural network, part 13: Loss history and text summary
  17. 17 Build a 2D convolutional neural network, part 14: Collecting examples
  18. 18 Build a 2D convolutional neural network, part 15: Rendering examples
  19. 19 Build a 2D convolutional neural network, part 16: Cottonwood code tour
  20. 20 Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet

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