DATA 442: Neural Networks & Deep Learning.

This website has all of the content for the Spring 2021 version of DATA 442 at William & Mary. The course teaches the foundations of Neural Networks and Deep Learning. Through an applied learning project, you will learn how to implement a machine learning project from design to implementation in the context of neural networks. Topics we will cover include the basic building blocks of neural networks, RNNs, convolutional networks and computer vision, backpropagation basics and strategies (including inductive transfer approaches), differences between technical implementations (i.e., TensorFlow, Keras, Torch), and more.