ImageNet Classification with Deep Convolutional Neural Networks - Paper Explained

ImageNet Classification with Deep Convolutional Neural Networks - Paper Explained

Yannic Kilcher via YouTube Direct link

- ReLU Nonlinearities

6 of 14

6 of 14

- ReLU Nonlinearities

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ImageNet Classification with Deep Convolutional Neural Networks - Paper Explained

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  1. 1 - Intro & Overview
  2. 2 - The necessity of larger models
  3. 3 - Why CNNs?
  4. 4 - ImageNet
  5. 5 - Model Architecture Overview
  6. 6 - ReLU Nonlinearities
  7. 7 - Multi-GPU training
  8. 8 - Classification Results
  9. 9 - Local Response Normalization
  10. 10 - Overlapping Pooling
  11. 11 - Data Augmentation
  12. 12 - Dropout
  13. 13 - More Results
  14. 14 - Conclusion

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