[Learn-data-science] pyTorch Course: Organisation, Prerequisites & Softmax Regression (May 26th, 3:30pm)

Eric Drechsler edrechsler at triumf.ca
Tue May 25 16:12:19 PDT 2021


Hey pyTorchbearers,

tomorrow, *Wednesday May 26th at 3:30pm*, we will have our first topical 
meeting in [1] on the /deep/ly exciting pytorch machine learning course 
[2].
Our first gathering will focus on a brief summary of the prerequisites 
of this course, followed by a discussion of the first topic: *softmax 
regression.* Please bring any question you might have, so we can have a 
jolly discussion.

Many of you are keen to get a shiny *certificate* for your hard work, 
which we are happy to fund for the first 10 responders. Please get in 
touch with me directly if you are interested and not yet in the list - 
more details below [3].

Please let us know if you have further questions!

Blips, Bloops & Beeps,
     Your DS Group

[1] https://bluejeans.com/788204027 <https://bluejeans.com/788204027>
[2] https://www.edx.org/course/deep-learning-with-python-and-pytorch 
<https://www.edx.org/course/deep-learning-with-python-and-pytorch>
[3] Contact Eric Drechsler (edrechsler at triumf.ca) with questions.

You can choose to audit this course for free and update to a 
certification within the first few days. We encourage you to pay for 
this certification yourself and file a reimbursement request. Please 
fill out and send the document below together with a proof of payment to 
me. We will collect these and forward them to Allayne, who kindly agreed 
to help us with processing.

Certificate requested:

  *
    Stefan Paul
  *
    Zakaria Patel
  *
    Sriteja Upadhyayula
  *
    Hamza Hanif
  *
    Rhea Gaur
  *
    Hamish Johnson

Official document (requires TRIUMF internal networking, i.e. VPN):
https://documents.triumf.ca/docushare/dsweb/Get/Document-24955/Request%20for%20Payment%20-%20Document-24955%20-%20Rel%202%20-%20fillable.pdf

Same document, accessible via gdrive:
https://drive.google.com/file/d/12zqhfHPwaD9v24WvBnfHjkjlUuTtt9w_/view?usp=sharing
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