Week 4: Convolutional Neural Networks

Contents

Week 4: Convolutional Neural Networks#

The convolution operation and its hyperparameters, why CNNs suit images, backpropagation through conv and pooling layers, and the first CNN architectures.

Lectures#

  1. The Convolution Operation and Its (Hyper)Parameters

  2. Why CNNs? Local Receptive Fields, Weight Sharing, Pooling, and Convolution Variants

  3. Backpropagation in CNNs

  4. CNN Architectures for Image Classification (LeNet, AlexNet, VGG)

Contents