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ECSE-6850 - Introduction to Deep Learning
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< meta property = "og:title" content = "ECSE-6850 - Introduction to Deep Learning" >
< meta property = "og:description" content = "Deep learning fundamentals and applications in artificial intelligence. Topics include machine learning foundation, linear regression and classification, deep neural networks, convolutional neural networks, recurrent neural networks, generative adversary neural networks, Bayesian neural networks, deep Boltzmann machine, deep Bayesian networks, and deep reinforcement learning." >
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Introduction to Deep Learning
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ECSE-6850
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Deep learning fundamentals and applications in artificial intelligence. Topics include machine learning foundation, linear regression and classification, deep neural networks, convolutional neural networks, recurrent neural networks, generative adversary neural networks, Bayesian neural networks, deep Boltzmann machine, deep Bayesian networks, and deep reinforcement learning.
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3 credits
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Cross-listed with:
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< a class = "course-pill" href = "ECSE-4850.html" > ECSE-4850 Introduction to Deep Learning< / a >
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Prereqs:
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none
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Past Term Data
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Offered
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Offered as Cross-Listing Only
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No Term Data
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Simple View
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Detailed View
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< th > < / th >
< th class = "spring season-label" > Spring< / th >
< th class = "summer season-label" colspan = "2" > Summer< / th >
< th class = "fall season-label" > Fall< / th >
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< th colspan = "2" > < / th >
< th class = "summer2 midsum-label" > (Session 1)< / th >
< th class = "summer3 midsum-label" > (Session 2)< / th >
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< th class = "year" > 2023< / th >
< td class = "term spring offered" >
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Intro To Deep Learning (3c)
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< li > Qiang Ji< / li >
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Seats Taken: 17/30
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< th class = "year" > 2022< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
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Intro To Deep Learning (3c)
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< ul class = "prof-list" >
< li > Qiang Ji< / li >
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< span class = "course-capacity" >
Seats Taken: 23/30
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2021< / th >
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Intro To Deep Learning (3c)
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< ul class = "prof-list" >
< li > Qiang Ji< / li >
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< span class = "course-capacity" >
Seats Taken: 16/30
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2020< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
Intro To Deep Learning (3c)
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< ul class = "prof-list" >
< li > Qiang Ji< / li >
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< span class = "course-capacity" >
Seats Taken: 25/30
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2019< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
Intro To Deep Learning (3c)
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< ul class = "prof-list" >
< li > Qiang Ji< / li >
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Seats Taken: 27/40
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