Introduction to Deep Learning

Catalog description

Introduction to concepts, algorithms, and practices of deep learning. Topics include mathematical building blocks of neural networks, deep learning libraries, stochastic gradient descent, machine learning fundamentals, classification and regression, computer vision, time series analysis, generative deep learning. ( CMPS 6340 for graduate credit)