Description
Deep Learning
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. This course will include key concepts of neural network algorithms as well as their applications in computer vision and natural language processing.

Prerequisites: COMP 479.

Outcomes: Students will analyze popular modern neural architectures such as convolutional and recurrent neural networks, design and evaluate their own neural networks, and apply neural network models to a practical task.
Details
Grading Basis
Graded
Units
3
Component
Lecture - Required
Offering
Course
COMP 487
Academic Group
College of Arts and Sciences
Academic Organization
Computer Science
Enrollment Requirements
COMP 479 with at least a C