Practical Deep Learning Part 2 - Integrating Recent Advances and Classic Machine Learning

1 · fast.ai · Jan. 17, 2017, midnight
With part 2 of our in person SF course starting in 6 weeks, and applications having just opened, we figured we better tell you a bit about what to expect!… So here’s an overview of what we’re planning to cover. Overall approach The main theme of this part of the course will be tackling more complex problems, that require integrating a number of techniques. This includes both integrating multiple deep learning techniques (such as combining RNNs and CNNs for attentional models), as well as combini...