DEEP LEARNING.

Catalog description

Pre-requisites: CSCD 584 with a grade ≥ C+, Advancement Programming Exam clearance. Corequisite: CSCD 585L . Study of various neural network based deep machine learning models. Includes Convolutional Networks, Recurrent Networks and its LSTM variant, Generative Adversarial Network, Diffusion Models, and attention-based Transformers. Discusses practical strategies for effective model training such as Dropout and batch/layer Normalization. Demonstrates the use of these models via real-world applications. Programming assignments are required to implement these models. Companion course to CSCD 585L .