10. Convolutional Neural Networks

Brief history of CNN

  • Perceptron
  • First strong result
  • AlexNet and current applications

Convolution layer

  • Filters and kernels
  • Receptive field
  • Strided convolution

Pooling layer

CNN architectures

  • Components

CNN normalization

  • Batch norm
  • Layer norm
  • Group norm

Case studies

  • AlexNet
  • VGGNet
  • ResNet
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