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Low Resolution Neural Networks - Revision history
2024-03-28T12:58:43Z
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Taners: /* Prerequisites */
2021-11-24T12:52:14Z
<p><span dir="auto"><span class="autocomment">Prerequisites</span></span></p>
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<td colspan='2' style="background-color: white; color:black; text-align: center;">← Older revision</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 12:52, 24 November 2021</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Prerequisites===</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Prerequisites===</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>: Introduction to Machine Learning</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>: Introduction to Machine Learning <ins class="diffchange diffchange-inline">(recommended)</ins></div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Status: Completed ===</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Status: Completed ===</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>: Supervision: [[:User:Mluisier | Mathieu Luisier]]</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>: Supervision: [[:User:Mluisier | Mathieu Luisier]]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>---></div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>---></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Character===</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>===Character===</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>: 30% Literature research  </div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div>: 30% Literature research  </div></td></tr>
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Taners
http://iis-projects.ee.ethz.ch/index.php?title=Low_Resolution_Neural_Networks&diff=7332&oldid=prev
Taners: Created page with "Neural network with quantized weights. ==Short Description== Neural networks (NNs) have become very popular for various artificial intel..."
2021-11-24T12:50:29Z
<p>Created page with "<a href="/index.php?title=File:Quantized_nn.png" title="File:Quantized nn.png">400px|thumb|Neural network with quantized weights.</a> ==Short Description== Neural networks (NNs) have become very popular for various artificial intel..."</p>
<p><b>New page</b></p><div>[[File:Quantized_nn.png|400px|thumb|Neural network with quantized weights.]]<br />
==Short Description==<br />
<br />
Neural networks (NNs) have become very popular for various artificial intelligence tasks, including but not limited to computer vision and natural language processing. Due to high computational complexity, NNs usually require very fast and power-hungry hardware. However, there has been growing interest in deploying NNs at run-time on mobile platforms such as smartphones or drones, which have limited on-device memory, computing resources, and power consumption. This has led to an abundance of research that aims to make NNs computationally more efficient, and one way to achieve this is using low-resolution weights. For example, weights may be constrained to binary values or quantized to low-precision fixed-point numbers. In this project, our goal is to find low-resolution weights using a novel method developed in our group to reduce the complexity of inference in a network.<br />
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===Status: Available ===<br />
: Looking for a Semester/Master student<br />
: Contact: [https://iip.ethz.ch/people/profiles.MjkzOTI0.TGlzdC80MTExLDEwNjY3Mjg3NDU=.html Sueda Taner]<br />
<br />
===Prerequisites===<br />
: Introduction to Machine Learning<br />
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: Fall Semester 2014 (sem13h2)<br />
: Matthias Baer, Renzo Andri<br />
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: Supervision: [[:User:Mluisier | Mathieu Luisier]]<br />
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===Character===<br />
: 30% Literature research <br />
: 70% Programming<br />
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===Professor===<br />
<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=194234 Luca Benini] ---><br />
<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=78758 Qiuting Huang] ---><br />
<!--: [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=80923 Mathieu Luisier] ---><br />
<!--: [https://ee.ethz.ch/the-department/people-a-z/person-detail.MjUwODc0.TGlzdC8zMjc5LC0xNjUwNTg5ODIw.html Taekwang Jang] ---><br />
: [https://ee.ethz.ch/the-department/faculty/professors/person-detail.OTY5ODg=.TGlzdC80MTEsMTA1ODA0MjU5.html Christoph Studer]<br />
<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=79172 Andreas Schenk] ---><br />
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==Detailed Task Description==<br />
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===Goals===<br />
===Practical Details===<br />
* '''[[Project Plan]]'''<br />
* '''[[Project Meetings]]'''<br />
* '''[[Design Review]]'''<br />
* '''[[Coding Guidelines]]'''<br />
* '''[[Final Report]]'''<br />
* '''[[Final Presentation]]'''<br />
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Taners