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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...570 , SCTS 571 , SCTS 615 , SCTS 620 , SCTS...
Artificial Intelligence and Machine Learning
...Credits Spring Credits Summer Credits CS 510 3.0 CS 615 3.0 Foundations of...
Bioinformatics
...0 CS 510 3.0 DSCI 511 3.0 DSCI 521 3.0 CS 615...