Deep Learning

Objectives

Present the area of deep learning. Discuss different architectures for addressing problems with images, time series, simple observations. Be able to implement and train a neural network in Keras. Introduction to generative models: autoencoders, variational autoencoders, and Generative Adversarial Networks.