The Convolution Operation

Motivation

Pooling

Convolution And Pooling as an Infinitely Strong Prior

Variants of the Basic Convolution Function

Structured Outputs

Data Types

Efficient Convolution Algorithms

Random or Unsupervised Features

The Neuroscientific Basis For Convolutional Network

Convolutional Networks And The History Of Deep Learning