Lecture 5 - AsyDynamics/CS231n Wiki

Convolutional neural network

Architecture overview

Other notes

Layers used to build CNN

Composed of convolutional layer, pooling layer and fully connected layer

Convolutional layer

Core building block of CNN that does most of the computional heavy lifting.

Pooling layer

common to insert pooling layer in-between Conv layers - reduce spatial size of the representation, reduce amount of parameters and computation

Normalization layer

Fully connected layer

difference with CNN, the neurons connect not only local region.

ConvNet Architecture

CONV, POOL, FC