Convolution in Two Dimensions

Convolution in Two Dimensions

Brandon Rohrer via YouTube Direct link

Build a 2D convolutional neural network, part 14: Collecting examples

17 of 20

17 of 20

Build a 2D convolutional neural network, part 14: Collecting examples

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Convolution in Two Dimensions

Automatically move to the next video in the Classroom when playback concludes

  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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.