Resources

There are many online resources that can be helpful for learning the content of this class. Here are a few. If you find others, please post on Piazza and we can add them here.

• Michael Nielsen’s online book
• Deep Learning textbook by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
• Unsupervised Feature Learning and Deep Learning Tutorial from Stanford
• CS231n: Convolutional Neural Networks for Visual Recognition lecture notes by Andrej Karpathy

Extra readings on the history of neural networks and their recent revival:

• Nature article by Yann LeCun, Yoshua Bengio, and Geoffrey Hinton
• Technical report by Jurgen Schmidhuber