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

[Eric Drechsler]

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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