Deep Learning

Catalog description

In this course, students will learn to select, train, and optimize deep learning models for practical problem solving. They will explore various neural network architectures, optimization and regularization techniques, and model training techniques. Students will delve into topics like transformer neural networks, deep reinforcement learning, parallelization, and the ethical implications of artificial intelligence (AI).