ISTA457

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ISTA457 - Neural Networks

School of Information Undergraduate UA - UA General

Course Description

Neural networks are a branch of machine learning that combines a large number of simple computational units to allow computers to learn from and generalize over complex patterns in data. Students in this course will learn how to train and optimize feed forward, convolutional, and recurrent neural networks for tasks such as text classification, image recognition, and game playing.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Undergraduate

Enrollment Requirements

017489

May be convened with

INFO557

Name

Lecture

Workload Hours

3

Optional Component

No

Typically Offered Main Campus

Fall

Typically Offered Distance Campus

Not Offered

Typically Offered UA Online Campus

Not Offered

Typically Offered Phoenix Campus

Not Offered

Typically Offered South Campus

Not Offered

Typically Offered Community Campus

Not Offered