Feedforward networks, Loss functions, Back-propagation training, Regularization, Convolutional neural networks (CNN), Transfer learning, Recurrent and recursive networks (RNN), Vanishing gradient problem, Long-short term memory (LSTM) model, Gated recurrent units (GRUs), Auto-encoders, Transformers, and Generative adversarial networks.

Pre-Requisites: (COE 292 Or ICS 381*) And (MATH 208 Or MATH 260 Or MATH 202 Or ICS 254) And (STAT 319 Or STAT 201)

* indicates Co-Requisities