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ECSE-4850: Introduction to Deep Learning
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< 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-4850
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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-6850" > ECSE-6850 Introduction to Deep Learning< / a >
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Prereqs:
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< a class = "course-pill" href = "ECSE-2500" > ECSE-2500 Engineering Probability< / a >
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< a class = "course-pill" href = "MATH-2010" > MATH-2010 Multivariable Calculus and Matrix Algebra< / a >
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< a class = "course-pill" href = "CSCI-1200" > CSCI-1200 Data Structures< / a >
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< th class = "spring season-label" > Spring< / th >
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< 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" > 2024< / th >
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< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202401&subj_in=ECSE&crse_in=4850&schd_in=" > Introduction To Deep Learning (3c)< / a >
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< li > Qiang Ji< / li >
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Seats Taken: 5/35
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< th class = "year" > 2023< / th >
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< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202301&subj_in=ECSE&crse_in=4850&schd_in=" > Intro To Deep Learning (3c)< / a >
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< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
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Seats Taken: 11/35
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< / span >
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< td colspan = "2" class = "term summer not-offered" >
< / td >
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< th class = "year" > 2022< / th >
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< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202201&subj_in=ECSE&crse_in=4850&schd_in=" > Intro To Deep Learning (3c)< / a >
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< / span >
< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 14/25
< / span >
< / div >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
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< th class = "year" > 2021< / th >
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< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202101&subj_in=ECSE&crse_in=4850&schd_in=" > Intro To Deep Learning (3c)< / a >
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< / span >
< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 9/40
< / span >
< / div >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
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< th class = "year" > 2020< / th >
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< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202001&subj_in=ECSE&crse_in=4850&schd_in=" > Introduction To Deep Learning (3c)< / a >
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< / span >
< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 15/25
< / span >
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< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
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< th class = "year" > 2019< / th >
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< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=201901&subj_in=ECSE&crse_in=4850&schd_in=" > Introduction To Deep Learning (3c)< / a >
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< / span >
< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 26/40
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< td class = "term fall not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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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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< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2007< / th >
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< td class = "term spring not-offered" >
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< td class = "term spring not-offered" >
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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" > 2005< / th >
< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2004< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
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< th class = "year" > 2003< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
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< th class = "year" > 2002< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
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< / tr >
< tr >
< th class = "year" > 2001< / th >
< td class = "term spring not-offered" >
< / td >
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< / td >
< td class = "term fall not-offered" >
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< th class = "year" > 2000< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< / td >
< td class = "term fall not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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