CS 570 - Application of Deep Learning

3 credit(s)
This course provides an overview of deep learning architectures and their applications covering state-of-the-art deep learning architectures: Neural Networks, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), and General Adversarial Networks (GAN) will be explored. Applications of these architectures to computer vision, natural language processing (NLP), and data generation will be covered.
Prerequisite(s): Matriculation in the MS in CS program; or senior standing and permission of the instructor.
Course fee.

Click here for Fall 2024 course scheduling information.

Click here for Spring 2025 course scheduling information.