C S 474
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Introduction to Deep Learning
Computer Science
College of Computational, Mathematical & Physical Sciences
Course Description
Understand theory and practice of deep learning, drawing material from machine vision, machine translation, dynamical systems, audio processing, neural computing and human perception. Learn supporting mathematical concepts, including linear algebra, stochastic optimization, and hardware acceleration.
When Taught
Fall and Winter
Min
3
Fixed
3
Fixed
3
Fixed
0
Title
Analyze Deep Learning
Learning Outcome
Theory and practice of modern deep learning and associated software frameworks. A broad look at the field, drawing on material from machine vision, machine translation, dynamical systems, audio processing, neural computing and human perception. Supporting mathematical concepts are also covered, including linear algebra, stochastic optimization, and hardware acceleration.
