Introduction to Neural Networks

Catalog description

Students will learn to implement and train various types of Artificial Neural Networks (ANN) including Convolutional Neural Networks (CNN) for image processing problems, Generative Adversarial Networks (GAN) for image generation and Recurrent Neural Networks (RNN) for handling sequential data. Core concepts will also be covered including forward/back propagation, preparing datasets and evaluating performance.