[Learn-data-science] pyTorch Basics: Summary Meeting

[Eric Drechsler]

*Thank you* for the interesting session today - in particular*to Metea 
and Peter* (🍪🍪🍪) for enlightening us with their presentations. In 
case you missed it or would like to review some of the material, here is 
a list of sources used today [1].

The CAP annual meeting is next week, we might reschedule our next Deep 
Learning gathering - a separate announcement will follow.

Have a great weekend,
   Eric

[1]
Notebook by Metea:
https://drive.google.com/drive/folders/1gpbx8GLSBU-BqTxtflYQ1Sze_eadpxxQ?usp=sharing

Notebook used by Peter: In module 3.3 of
https://www.edx.org/course/pytorch-basics-for-machine-learning 
<https://www.edx.org/course/pytorch-basics-for-machine-learning>

Source with excellent gradient descent visualisations:
https://www.tomasbeuzen.com/deep-learning-with-pytorch/README.html


On 2021-06-04 7:57 a.m., Eric Drechsler wrote:
> Kind reminder of our meeting in 5', this Friday June *4th*. ;)
>
> On 2021-06-03 2:44 p.m., Eric Drechsler wrote:
>> Our meeting to review pyTorch basics will be held tomorrow 
>> morning,*Friday June 3rd at 8am PST* in
>>
>> https://bluejeans.com/788204027 
>> <https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbluejeans.com%2F788204027&data=04%7C01%7Cedrechsler%40triumf.ca%7Cdf3d3b49c94b4e24da0808d92769152a%7Cc20535109cb34679a2d38f442e03b587%7C1%7C0%7C637584154560683561%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=az%2FZt35964dUjY%2ByM%2FXQdhJIHK7RYvL3i3WWjs9ZB%2F0%3D&reserved=0>
>>
>> Metea and Peter kindly agreed to enlighten us. We are looking forward 
>> to see you all!
>>
>> - Your DS Group
>>
>>
>> On 2021-06-01 11:42 a.m., Eric Drechsler wrote:
>>>
>>> Hello aspiring pyTorch experts,
>>>
>>> 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.
>>>
>>> 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:
>>>
>>> Module 1: Tensors, Derivatives, Dataset
>>> Module 2: Linear Regression, Loss, Gradient Descent, Cost, Training
>>> Module 3: Gradient Descent, Optimisation, Validation, early stop
>>> Module 4: Linear Regression in depth: Prediction, multiple outputs
>>>
>>> Digital glory and virtual cookies await! 🍪
>>>
>>> For more information, visit our slack channel.
>>>  - Your DS Group
>>>
>>> [1] https://doodle.com/poll/z3a2whmr9gpt8bp6#calendar
>>> [2] https://www.edx.org/course/pytorch-basics-for-machine-learning 
>>> (choose the audit option for a free look at the course)
>>>
>>>
>>> _______________________________________________
>>> Learn-data-science mailing list
>>> Learn-data-science at lists.triumf.ca
>>> http://lists.triumf.ca/mailman/listinfo/learn-data-science
>>
>>
>
>
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