Deep Learning

Ian Goodfellow, Yoshua Bengio, Aaron Courville

Machine Learning / Textbook

The standard graduate-level textbook on deep learning—covering linear algebra, probability, feedforward networks, regularization, optimization, convolutional nets, recurrent nets, and generative models—written by three of the field's leading researchers. Available free online and consistently assigned in the courses the AI Canon links to, including fast.ai and Stanford CS229. The technical backbone behind the AI Canon's explainers and landmark papers sections.