Bibframe Work

Introduction to deep learning

Mathematical review

A review of optimization and machine learning

Single and multilayer perceptron models

Convolutional neural networks (CNNs)

Recurrent neural networks (RNNs)

Autoencoders, restricted boltzmann machines, and deep belief networks

Experimental design and heuristics

Hardware and software suggestions

Machine learning example problems

Deep learning and other example problems

Closing statements.