Papers

Introduction to Convolutional Neural Networks

• Paper introducing CNNs from a mathematical perspective

Gradient-Based Learning Applied to Document Recognition

• Original paper popularizing CNNs

Lectures

MIT 6.S191: Convolutional Neural Networks

• Lecture on CNNs from MIT’s deep learning course

Introduction to Convolutional Neural Networks for Visual Recognition

• Lecture 1 from Stanford course on CNNs

Deep Learning for Computer Vision

• Lecture on Computer vision with CNNs by Andrej Karpathy

Videos

Convolutional Neural Networks (CNNs) Explained

• By Deep Lizard

Posts

Convolutional Neural Networks

• Notes on CNNs from the Stanford CS231 course on CNNs

Convolutional Neural Networks

• Post on the key ideas of CNNs by Jeremy Jordan

Backpropagation in CNNs

• A short post on how CNNs use backpropagation to learn

Deep Convolutional Neural Networks as Models of the Visual System

• A post comparing and contrasting CNNs and the visual system in Q&A format

Convolutional Neural Networks Cheatsheet

• A cheatsheet with the key equations and ideas for CNNs

Code Examples

CNNs in Keras

• A simple example of using a CNN in Keras to train on the Cifar dataset

CNNs in Pytorch

• A simple example of using a CNN in Pytorch to train on the MNIST dataset

Courses

Convolutional Neural Networks

• A 4-week course on CNNs from Andrew Ng’s Deep Learning Specialization on Coursera

Convolutional Neural Networks in Tensorflow

• A 4-week coursera course taught by Laurence Moroney

Textbook Sections

Deep Learning Chapter 9 | Convolutional Networks

• Chapter on Convolutional Networks from Ian Goodfellow’s Textbook

Convolutional Neural Networks | Chapter 6

• A chapter on CNNs from the Deep Dive into Deep Learning textbook

APIs

Keras Convolutional Layers | Pooling Layers

Pytorch Convolutional Layers | Pooling Layers