[Learn-data-science] pyTorch Basics: Summary Meeting
Eric Drechsler
edrechsler at triumf.ca
Fri Jun 4 07:57:19 PDT 2021
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%7Ca4a77d023248438f027e08d91fd293a4%7Cc20535109cb34679a2d38f442e03b587%7C1%7C0%7C637575811571799540%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=JFQ6%2BqnWBBQtiu%2FuLDejNYobIUy2QiopnLs5nQA76lc%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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