2024-03-02 06:45:21 +00:00
<!DOCTYPE html>
< html >
< head >
< title >
ECSE-4850: Introduction To Deep Learning
< / title >
< meta property = "og:title" content = "ECSE-4850: 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." >
< link rel = "stylesheet" href = "../css/common.css" >
< link rel = "stylesheet" href = "../css/coursedisplay.css" >
< link rel = "stylesheet" href = "../css/themes.css" >
< link rel = "shortcut icon" href = "../favicon/quatalogIcon.png" >
< link rel = "icon" href = "../favicon/favicon.ico" >
< link rel = "apple-touch-icon" sizes = "180x180" href = "../favicon/apple-touch-icon.png" >
< link rel = "icon" type = "image/png" sizes = "32x32" href = "../favicon/favicon-32x32.png" >
< link rel = "icon" type = "image/png" sizes = "16x16" href = "../favicon/favicon-16x16.png" >
< link rel = "manifest" href = "../favicon/site.webmanifest" >
< script src = "../js/fuse.js" > < / script >
< script src = "../js/search_helper.js" > < / script >
< / head >
< body class = "search_plugin_added" >
< div id = "qlog-header" >
< a id = "qlog-wordmark" href = "../" > < svg > < use href = "../images/quatalogHWordmark.svg#QuatalogHWordmark" > < / use > < / svg > < / a >
< form onsubmit = "search_helper(event)" >
< input type = "text" id = "search" class = "header-search" placeholder = "Search..." >
< / form >
< / div >
< div id = "cd-flex" >
< div id = "course-info-container" >
< h1 id = "name" >
Introduction To Deep Learning
< / h1 >
< h2 id = "code" >
ECSE-4850
< / h2 >
< p >
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.
< / p >
< div id = "cattrs-container" >
< span id = "credits-pill" class = "attr-pill" >
3 credits
< / span >
< / div >
2024-10-07 19:22:28 +00:00
< div id = "crosslist-container" >
< div id = "crosslist-title" class = "rel-info-title" >
Cross-listed with:
< / div >
< div id = crosslist-classes" class = "rel-info-courses" >
< a class = "course-pill" href = "ECSE-6850" > ECSE-6850 Intro To Deep Learning< / a >
< / div >
< / div >
2024-03-02 06:45:21 +00:00
< div id = "prereq-container" class = "rel-info-container" >
< div id = "prereq-title" class = "rel-info-title" >
Prereqs:
< / div >
< div id = "prereq-classes" class = "rel-info-courses" >
2024-09-13 01:49:00 +00:00
< a class = "course-pill" href = "CSCI-1200" > CSCI-1200 Data Structures< / a >
< div class = "pr-and" > and< / div >
2024-03-02 06:45:21 +00:00
< a class = "course-pill" href = "ECSE-2500" > ECSE-2500 Engineering Probability< / a >
< div class = "pr-and" > and< / div >
2024-09-13 01:49:00 +00:00
< div class = "pr-or-con" >
< div class = "pr-or-title" >
one of:
< / div >
< div class = "pr-or" >
< a class = "course-pill" href = "MATH-2010" > MATH-2010 Multivar Calc & Matrix Algebra< / a >
< a class = "course-pill" href = "MATH-2011" > MATH-2011 Multivariable Calculus< / a >
< / div >
< / div >
2024-03-02 06:45:21 +00:00
< div class = "pr-and" > and< / div >
2024-09-13 01:49:00 +00:00
< a class = "course-pill" href = "MATH-2012" > MATH-2012 Matrix Algebra< / a >
2024-03-02 06:45:21 +00:00
< / div >
< / div >
< / div >
< div id = "past-container" >
< h1 id = "past-title" >
Past Term Data
< / h2 >
< input type = "radio" id = "simple-view-input" name = "view-select" value = "simple" checked = "checked" >
< input type = "radio" id = "detail-view-input" name = "view-select" value = "detailed" >
< div id = "opt-container" >
< div id = "key-panel" >
< div id = "yes-code" class = "key-code" >
< span class = "code-icon" id = "yes-code-icon" >
< svg > < use href = "../icons.svg#circle-check" > < / use > < / svg >
< / span >
Offered
< / div >
< div id = "no-code" class = "key-code" >
< span class = "code-icon" id = "no-code-icon" >
< svg > < use href = "../icons.svg#circle-no" > < / use > < / svg >
< / span >
Not Offered
< / div >
< div id = "diff-code" class = "key-code" >
< span class = "code-icon" id = "diff-code-icon" >
< svg > < use href = "../icons.svg#circle-question" > < / use > < / svg >
< / span >
Offered as Cross-Listing Only
< / div >
< div id = "nil-code" class = "key-code" >
< span class = "code-icon" id = "nil-code-icon" >
< svg > < use href = "../icons.svg#circle-empty" > < / use > < / svg >
< / span >
No Term Data
< / div >
< / div >
< div id = "control-panel" >
< label for = "simple-view-input" id = "simple-view-label" class = "view-option-label" >
< span class = "view-icon" id = "simple-view-icon" >
< span class = "view-icon-selected" > < svg > < use href = "../icons.svg#circle-dot" > < / use > < / svg > < / span >
< span class = "view-icon-unselected" > < svg > < use href = "../icons.svg#circle-empty" > < / use > < / svg > < / span >
< / span >
Simple View
< / label >
< label for = "detail-view-input" id = "detail-view-label" class = "view-option-label" >
< span class = "view-icon" id = "detail-view-icon" >
< span class = "view-icon-selected" > < svg > < use href = "../icons.svg#circle-dot" > < / use > < / svg > < / span >
< span class = "view-icon-unselected" > < svg > < use href = "../icons.svg#circle-empty" > < / use > < / svg > < / span >
< / span >
Detailed View
< / label >
< / div >
< / div >
< table id = "years-table" >
< thead >
< tr >
< 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 >
< / tr >
< tr >
< th colspan = "2" > < / th >
< th class = "summer2 midsum-label" > (Session 1)< / th >
< th class = "summer3 midsum-label" > (Session 2)< / th >
< th > < / th >
< / tr >
< / thead >
< tbody >
2024-09-13 01:49:00 +00:00
< tr >
< th class = "year" > 2025< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< a href = "https://sis.rpi.edu/rss/bwckctlg.p_disp_listcrse?term_in=202501&subj_in=ECSE&crse_in=4850&schd_in=" > Introduction To Deep Learning (3c)< / a >
< / span >
< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 0/35
< / span >
< / div >
< / td >
< td colspan = "2" class = "term summer unscheduled" >
< / td >
< td class = "term fall unscheduled" >
< / td >
< / tr >
2024-03-02 06:45:21 +00:00
< tr >
< th class = "year" > 2024< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< 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 >
< / span >
< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
2024-03-04 14:24:40 +00:00
Seats Taken: 10/35
2024-03-02 06:45:21 +00:00
< / span >
< / div >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2023< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< 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 >
< / span >
< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 11/35
< / span >
< / div >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2022< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< 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 >
< / 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" >
< / td >
< / tr >
< tr >
< th class = "year" > 2021< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< 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 >
< / 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" >
< / td >
< / tr >
< tr >
< th class = "year" > 2020< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< 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 >
< / span >
< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 15/25
< / span >
< / div >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2019< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
< 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 >
< / span >
< ul class = "prof-list" >
< li > Qiang Ji< / li >
< / ul >
< span class = "course-capacity" >
Seats Taken: 26/40
< / span >
< / div >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2018< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2017< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2016< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2015< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2014< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2013< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2012< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2011< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2010< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2009< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2008< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2007< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2006< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2005< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2004< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2003< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2002< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2001< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 2000< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 1999< / th >
< td class = "term spring not-offered" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< tr >
< th class = "year" > 1998< / th >
< td class = "term spring unscheduled" >
< / td >
< td colspan = "2" class = "term summer not-offered" >
< / td >
< td class = "term fall not-offered" >
< / td >
< / tr >
< / tbody >
< / table >
< / div >
< / div >
< / body >
< / html >
