- Neural Networks and Deep Learning

Catalog description

This course will survey leading algorithms and methods for neural networks and deep learning. The first part of the course will cover the basics of neural networks through the backpropagation algorithm. Then, the fundamentals of neural networks will be discussed through radial-basis function (RBF) networks and restricted Boltzmann machines. The second part of the course will cover deep learning methods through recurrent neural networks, convolutional neural networks (CNNs), and generative adversarial networks (GANs).