Deep Learning

Catalog description

This course introduces the fundamental concepts and techniques of deep learning. Topics include neural net - works, backpropagation, convolutional networks, recurrent networks, and practical applications in areas such as computer vision and natural language processing. Students will implement deep learning models us- ing frameworks like TensorFlow or PyTorch.