Special Course in Machine Learning: Deep Generative Models 2019/20 kevad

Linear Algebra

• Linear Algebra and Calculus refresher from Stanford Machine Learning course
• Linear Algebra Review and Reference from Stanford
• Computational Linear Algebra for Coders from fast.ai.

Calculus

• Vector, Matrix, and Tensor Derivatives from Stanford.
• The Matrix Calculus You Need For Deep Learning from fast.ai.

Probability

• Probabilities and Statistics refresher from Stanford Machine Learning course
• Review of Probability Theory from Stanford.

Deep Learning

• Ian Goodfellow Deep Learning book

Generative Models

• Course notes CS236 Deep Generative Models
• Stanford lecture about GANs from CS231N