[Learn-data-science] Pytorch Deep Learning Course: Shallow & Deep Neural Networks

[Eric Drechsler]

Kind reminder of our meeting in 25'. Please connect to

https://bluejeans.com/788204027

for your weekly dose of pyTorching.

On 2021-06-15 8:03 a.m., Eric Drechsler wrote:
>
> Time to get schwifty!
>
> In our next meeting this *Wednesday, June 16th, 11am* we will dissect 
> the neural networks core material - no scalpel needed. The focus will 
> be on modules 2 & 3 -*Shallow and Deep Neural Networks*, which include 
> the topics:
>
> - one- & multidimensional NN, multiclass NN
> - backpropagation, activation functions
> - initialisation, momentum, dropout, batch normalisation
>
> All of these topics are rather important in practice, so please make 
> sure to bring any question which might arise during the course review.
>
> We are looking for a *volunteer to guide the discussion*; in [1] you 
> can find the slides we used as guideline in our first meeting. Our 
> upcoming schedule is summarised in [2].
>
> All hail Skynet,
>  Your DS  group
>
> [1] 
> https://docs.google.com/presentation/d/1x_s1-fsPsj9qMMqV1X-jscOU7i0cyL487hI_iSZx6rg/edit?usp=sharing
> [2]
> - June 16th, 11am:
>     - Shallow Neural Networks
>     - Deep Networks
> - June 23rd, 11am:
>     - Convolutional NN
>     - Autoencoders
> - June 30th:
>     - Optional meeting
> - July 7th, 11am:
>     - Peer Review
>     - Final Exam
>

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