Deep Residual Learning for Image Recognition - Paper Explained

Deep Residual Learning for Image Recognition - Paper Explained

Yannic Kilcher via YouTube Direct link

- Overfitting is Not the Problem

4 of 12

4 of 12

- Overfitting is Not the Problem

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Deep Residual Learning for Image Recognition - Paper Explained

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  1. 1 - Intro & Overview
  2. 2 - The Problem with Depth
  3. 3 - VGG-Style Networks
  4. 4 - Overfitting is Not the Problem
  5. 5 - Motivation for Residual Connections
  6. 6 - Residual Blocks
  7. 7 - From VGG to ResNet
  8. 8 - Experimental Results
  9. 9 - Bottleneck Blocks
  10. 10 - Deeper ResNets
  11. 11 - More Results
  12. 12 - Conclusion & Comments

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