1. Introduction
  2. Feedforward networks
  3. Backpropagation
  4. Stochastic Gradient Descent
  5. Regularization part 1
  6. Regularization part 2
  7. Convolutional Neural Networks
  8. Recurrent Neural Networks
  9. Autoencoders
  10. Generative Models
  11. Bayesian Neural Networks

Last modified: Thursday, 7 May 2020, 6:23 PM