Foundations of Deep Learning

Catalog description

This course introduces multi-layer neural networks, a common deep learning architecture, and gradient-based training through the backpropagation algorithm. Fully connected neural networks are followed by more specialized neural network architectures such as convolutional neural networks, recurrent neural networks with attention, and deep generative models.