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Our meeting to review pyTorch basics will be held tomorrow morning,<b>
Friday June 3rd at 8am PST</b> in<br>
<p><a href="https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbluejeans.com%2F788204027&data=04%7C01%7Cedrechsler%40triumf.ca%7Ca4a77d023248438f027e08d91fd293a4%7Cc20535109cb34679a2d38f442e03b587%7C1%7C0%7C637575811571799540%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=JFQ6%2BqnWBBQtiu%2FuLDejNYobIUy2QiopnLs5nQA76lc%3D&reserved=0" rev="en_rl_none">https://bluejeans.com/788204027</a></p>
Metea and Peter kindly agreed to enlighten us. We are looking
forward to see you all!<br>
<br>
- Your DS Group<br>
<br>
<br>
<div class="moz-cite-prefix">On 2021-06-01 11:42 a.m., Eric
Drechsler wrote:<br>
</div>
<blockquote type="cite" cite="mid:3ca65eee-6831-3cb7-2539-4cae47f9a02e@triumf.ca">
<p>Hello aspiring pyTorch experts,<br>
<br>
the discussion in our last meeting revealed that many of you
would benefit from an overview of pyTorch basics first before
diving into the deep end. We are currently running a doodle poll
[1] to converge on a preferred meeting time.<br>
</p>
<p>We are still looking for volunteers to present a short,
informal summary of selected modules in the basics course [2],
which covers the following topics:<br>
<br>
Module 1: Tensors, Derivatives, Dataset<br>
Module 2: Linear Regression, Loss, Gradient Descent, Cost,
Training<br>
Module 3: Gradient Descent, Optimisation, Validation, early stop<br>
Module 4: Linear Regression in depth: Prediction, multiple
outputs<br>
<br>
Digital glory and virtual cookies await! <span style="color:
rgb(32, 33, 36); font-family: arial, sans-serif; font-size:
16px; font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-align: left; text-indent: 0px;
text-transform: none; white-space: normal; widows: 2;
word-spacing: 0px; -webkit-text-stroke-width: 0px;
background-color: rgb(255, 255, 255);
text-decoration-thickness: initial; text-decoration-style:
initial; text-decoration-color: initial; display: inline
!important; float: none;">🍪</span><br>
<br>
For more information, visit our slack channel.<br>
- Your DS Group<br>
</p>
<p>[1] <a class="moz-txt-link-freetext" href="https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoodle.com%2Fpoll%2Fz3a2whmr9gpt8bp6%23calendar&data=04%7C01%7Cedrechsler%40triumf.ca%7C05729edb42ce4cc6949d08d9252d15f5%7Cc20535109cb34679a2d38f442e03b587%7C1%7C0%7C637581697848554759%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=ZMYETm50J6B%2BrjGUHMTBzqorcr%2FjeQ%2BySb%2Ba9lARpYg%3D&reserved=0" originalsrc="https://doodle.com/poll/z3a2whmr9gpt8bp6#calendar" shash="ZUQG/qOiIBu4uSfZBgDhLYyqae5oXvUX027v1J/j2aNoyaOPzxPklIQcWkWaYgvvgYiYo6AQO/0NWAEXA78XaDXVWclGKebt9KAwsC4obZlSrUgWJQbDQb6uPldzVnZ68RnmKvOlABZJLGRYyQpYPkUg3G56fXlcXplN7aSLCdg=" moz-do-not-send="true">https://doodle.com/poll/z3a2whmr9gpt8bp6#calendar</a><br>
[2] <a class="moz-txt-link-freetext" href="https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.edx.org%2Fcourse%2Fpytorch-basics-for-machine-learning&data=04%7C01%7Cedrechsler%40triumf.ca%7C05729edb42ce4cc6949d08d9252d15f5%7Cc20535109cb34679a2d38f442e03b587%7C1%7C0%7C637581697848564748%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=rBTaVJvhJDpE%2BKnfyK79p57YReZacq%2FS3o%2BzRj%2BDhtQ%3D&reserved=0" originalsrc="https://www.edx.org/course/pytorch-basics-for-machine-learning" shash="w4QXxFy0JUG41UzBjDC7xM5d40bJ37yz+HO5rUojGj16nHBN84+Bc2okPEgrLUMHEwC6sKwsllHoO4kmMTIDmjeH43zFrCCB04GFy+PigxQdf+7hyN++KUufqeHGJKJy9ZUGx6LJeX6wg/XHoEOEs1EFTOHsI9Yozm0XlX/ElGA=" moz-do-not-send="true">https://www.edx.org/course/pytorch-basics-for-machine-learning</a>
(choose the audit option for a free look at the course)<br>
</p>
<br>
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</blockquote>
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