Convolutional Neural Nets Explained and Implemented in Python - PyTorch

Convolutional Neural Nets Explained and Implemented in Python - PyTorch

James Briggs via YouTube Direct link

Intro

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1 of 16

Intro

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Convolutional Neural Nets Explained and Implemented in Python - PyTorch

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  1. 1 Intro
  2. 2 What Makes a Convolutional Neural Network
  3. 3 Image preprocessing for CNNs
  4. 4 Common components of a CNN
  5. 5 Components: pooling layers
  6. 6 Building the CNN with PyTorch
  7. 7 Notable CNNs
  8. 8 Implementation of CNNs
  9. 9 Image Preprocessing for CNNs
  10. 10 How to normalize images for CNN input
  11. 11 Image preprocessing pipeline with pytorch
  12. 12 Pytorch data loading pipeline for CNNs
  13. 13 Building the CNN with PyTorch
  14. 14 CNN training parameters
  15. 15 CNN training loop
  16. 16 Using PyTorch CNN for inference

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