DSCI 440 - Applied Deep Learning

Institution:

Lander University

Subject:

Description:

This course is an applied study of algorithms and models to perform deep learning on very large unstructured datasets, such as images, and texts. Topics include artificial neural networks, deep neural networks, deep learning models and training algorithms, optimizers, preparation of training data, measuring performance, and developing applications over the cloud. Prerequisites: DSCI 230 and MATH 214.Three credit hours.

Credits:

3.00

Credit Hours:

Prerequisites:

( DSCI 230 and( MATH 214

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.lander.edu

Phone Number:

(864) 388-8000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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