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CS 615 Deep Learning 3.0 Credits

Introduces a machine learning technique called deep learning and its applications, as well as core machine learning concepts such as data set, evaluation, overfitting, regularization and more. Covers neural network building blocks: linear and logistic regression, followed by shallow artificial neural networks and a variety of deep networks algorithms and their derivations. Includes implementation of algorithms and usage of existing machine learning libraries. Explores the usage of deep learning on a variety of problems including image classification, speech recognition, and natural language processing. Concludes with student-chosen project demonstrations accompanied by a conference-style paper.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: CS 520 [Min Grade: C] and CS 570 [Min Grade: C] and CS 571 [Min Grade: C]

Peace Engineering

http://catalog.drexel.edu/graduate/collegeofengineering/peaceengineering/

...Software Development : CS 520 , CS 570 , CS 571...570 , SCTS 571 , SCTS 615 , SCTS 620 , SCTS...

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