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---
description: Index page
---
<!DOCTYPE html>
<html lang="en">
<head>
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<title>COMPSCI 682 Neural Networks: A Modern Introduction</title>
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<li class="active"><a href="index.html">Home</a></li>
<li><a href="lectures.html">Lectures</a></li>
<li><a href="notes/">Notes</a></li>
<li><a href="assignments.html">Assignments</a></li>
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</p>
<div class="jumbotron">
<h2>COMPSCI 682 Neural Networks: A Modern Introduction</h2>
<p id="classdesc">
This 3-credit course will focus on modern, practical methods for deep learning.
We will begin with an overview of simple classifiers, such as perceptrons and logistic regression, and move on to standard neural networks, convolutional neural networks, recurrent neural networks, and transformers, as well as their applications, such as object detection, image segmentation, image generation, and captioning.
The emphasis will be on the fundamentals and practical application rather than an in-depth theoretical approach.
While the majority of the applications discussed will focus on computer vision, we will also cover some natural language processing applications.
The programming components will be based on Python and its associated packages, such as <a href="http://www.numpy.org/">NumPy</a> and <a href="https://pytorch.org/">PyTorch</a>. Students should have a strong background in linear algebra, probability and statistics, and multivariate calculus, as well as the ability to program in Python.
</p>
<div class="row">
<div class="col-xs-6 col-sm-6">
<h3>Instructors</h3>
<div class="instructor2">
<a href="https://www.cs.umass.edu/~smaji">
<div class="instructorphoto"><img src="assets/fig/subhransu.png"></div>
<div>Subhransu Maji</div>
</a>
<div>Office Hour: 2-3pm, Thursdays, CSB W274</div>
<!-- <font color="red"> Erik's office hours this week will be at 1-2pm(3/8 Fri).</font> -->
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<h3>Teaching Assistants</h3>
<div class="instructor2">
<a href="https://rangeldaroya.github.io/">
<div class="instructorphoto"><img src="assets/fig/rangel.png"></div>
<div>Rangel Daroya</div>
</a>
<div>TA Hours: 2-4pm, Wednesdays, CSL E211</div>
<div><a href="https://umass-amherst.zoom.us/j/93348638320">Zoom Room</a></div>
</div>
</br>
<div class="instructor2">
<a href="https://johnmaxh.github.io/">
<div class="instructorphoto"><img src="assets/fig/max.png"></div>
<div>Max Hamilton</div>
</a>
<div>TA Hours: 2-4pm, Tuesdays, CSL E211</div>
<div><a href="https://umass-amherst.zoom.us/j/91773289296">Zoom Room</a></div>
</div>
</div>
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<h2>Lectures</h2>
Tue & Th 4:00PM - 5:15PM<br>
Computer Science Labs, E110 </p>
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<h2>Optional Discussions</h2>
Fri 2/27 11:15AM-12:45PM<br>
Computer Science Labs, E110 </p>
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<h2>Grading Policy</h2>
<p>
Assignment #1: 15%<br>
Assignment #2: 15%<br>
Assignment #3: 15%<br>
Midterm #1: 15%<br>
Midterm #2: 15%<br>
Project: 25%<br>
</p>
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<h2>Course Discussions</h2>
<p class="infoblk">Discussions on <a href="https://piazza.com/umass/spring2026/compsci682">Piazza</a>. </p>
</div><!--/.col-xs-6.col-lg-4-->
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<h2>Assignments</h2>
<p class="infoblk">There will be 3 homework assignments through the semester. </p>
<p><a class="btn btn-default" href="assignments.html" role="button">View details »</a></p>
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<h2>Acknowlegements</h2>
<p class="infoblk">Many thanks to Erik Learner-Miller, Jiajun Wu, Fei-Fei Li and Andrej Karpathy for graciously letting
us use materials from the Stanford <a href="http://cs231n.stanford.edu/">CS231n</a>. </p>
</div>
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<h2>Announcements</h2>
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<li> <b>Jan. 29</b> Class starts. </li>
<!--<li> <b>Sept. 8</b> Assignment 1 is released. </li>
<li> <b>Sept. 23</b> Assignment 1 is due on Sept. 23 (Thu). </li>
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<li> <del><b>Oct. 7</b> Course Project Proposal Due.</del> </li>
<li> <b>Oct. 8</b> Course Project Proposal Due. </li>
<li> <b>Oct. 21</b> Assignment 2 is due on Oct. 21 (Thu). </li>
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<li> <b>Nov. 8</b> Milestone is due on Nov. 8 (Mon).</del> </li>
<li> <b>Nov. 18</b> Midterm is on Nov. 18 (Thu). </li>
<li> <b>Nov. 21</b> Assignment 3 is due on Nov. 21 (Sun). </li>
<li> <b>Nov. 26</b> Project Write-Up is due on Nov. 26 (Fri). </li>
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