# 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](<../notebooks/Week 4/L1_Convolution_and_Hyperparameters.ipynb>)
2. [Why CNNs? Local Receptive Fields, Weight Sharing, Pooling, and Convolution Variants](<../notebooks/Week 4/L2_Why_CNNs_and_Conv_Variants.ipynb>)
3. [Backpropagation in CNNs](<../notebooks/Week 4/L3_Backpropagation_in_CNNs.ipynb>)
4. [CNN Architectures for Image Classification (LeNet, AlexNet, VGG)](<../notebooks/Week 4/L4_CNN_Architectures.ipynb>)