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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.
Repeat Status: Not repeatable for credit
Prerequisites: (CS 520 [Min Grade: C] or CS 502 [Min Grade: C]) and (CS 571 [Min Grade: C] or CS 503 [Min Grade: C]) and (CS 570 [Min Grade: C] or CS 501 [Min Grade: C]) and CS 504 [Min Grade: C]
Mechanical Engineering BSME / Peace Engineering MS
...Software Development : CS 502 , CS 575 , CS 576...570 , SCTS 571 , SCTS 615 , SCTS 620 , SCTS...
Environmental Engineering BSENE / Peace Engineering MS
...Software Development : CS 502 CS 575 , CS 576...570 , SCTS 571 , SCTS 615 , SCTS 620 , SCTS...
Peace Engineering
http://catalog.drexel.edu/graduate/collegeofengineering/peaceengineering/
...Software Development : CS 502 CS 575 , CS 576...501 , SCTS 570 , SCTS 615 , SCTS 620 , SCTS...