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
January 13 Section 1: Fundamentals of Deep Learning I
January 22 Section 2: Fundamentals of Deep Learning II
January 27 Section 3: Data representations for neural network, Keras, Tensorflow
February 3 Section 4: Deep dive into Keras
February 10 Section 5: Convolutional Neural Networks
March 17 Section 6: Deep Learning for Time Series
March 25 Section 7: Deep Learning for Text
April 23 Section 8: Generative Deep Learning
April 30 Section 9: Best practices and summary