Schedule

Class materials (references, code examples, slides, etc.) will be added on the day of class

  • Review references
  • Review and run code examples for each class
  • Review slides and links in them

The schedule is currently work in progress.

Introduction to Deep Learning with R Reading Assignment Class
June 8 Day 1: Fundamentals of Deep Learning I
June 9 Day 2: Fundamentals of Deep Learning II
June 10 Day 3: Overfitting, regularization, dropout, pretrained models, word embedding
June 11 Day 4: Convolutional Neural Networks, images
June 12 Day 5: Generative Adversarial Networks, Autoencoders, Recurrent Neural Networks, LSTM, GRU, sequence learning