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

[Eric Drechsler]

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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