Resources

Courses at other universities:

• Stanford CS231n: Deep Learning for Computer Vision
• Berkeley CS294: Deep Reinforcement Learning

More practically oriented courses:

• FastAI Practical Deep Learning for Coders
• Full Stack Deep Learning

Specific topics:

• A guide to receptive field arithmetic for Convolutional Neural Networks

Historical readings:

• Neural Networks S. Seung and R. Yuste, Appendix E of Principles of Neural Science, 5th ed.
• Deep Learning by Yann LeCun, Yoshua Bengio, and Geoffrey Hinton, Nature 2015.
• Deep Learning in Neural Networks: An Overview by Jurgen Schmidhuber