I have finished a number of Coursera courses recently, including "Deep Learning 
& Neural Networks with Keras" which was ok but not great. The problems with 
deep learning are* to achieve impressive results like chatGPT from OpenAi or 
LaMDA from Goggle you need to spend millions on hardware * only big 
organisations can afford to create such expensive models* the resulting network 
is s black box and it is unclear why it works the way it doesIn the end it is 
just the same old back propagation that has been known for decades, just on 
more computers and trained on more data. Peter Norvig calls it "The 
unreasonable effectiveness of 
data"https://research.google.com/pubs/archive/35179.pdf-J.
-------- Original message --------From: Russ Abbott <[email protected]> 
Date: 1/8/23  12:20 AM  (GMT+01:00) To: The Friday Morning Applied Complexity 
Coffee Group <[email protected]> Subject: Re: [FRIAM] Deep learning training 
material Hi Pieter,A few comments.Much of the actual deep learning material 
looks like it came from the Kaggle "Deep Learning" sequence.In my opinion, R is 
an ugly and ad hoc language. I'd stick to Python.More importantly, I would put 
the How-to-use-Python stuff into a preliminary class. Assume your audience 
knows how to use Python and focus on Deep Learning. Given that, there is only a 
minimal amount of information about Deep Learning in the write-up. If I were to 
attend the workshop and thought I would be learning about Deep Learning, I 
would be disappointed--at least with what's covered in the write-up. I say this 
because I've been looking for a good intro to Deep Learning. Even though I 
taught Computer Science for many years, and am now retired, I avoided Deep 
Learning because it was so non-symbolic. My focus has always been on symbolic 
computing. But Deep Learning has produced so many extraordinarily impressive 
results, I decided I should learn more about it. I haven't found any really 
good material. If you are interested, I'd be more than happy to work with you 
on developing some introductory Deep Learning material. -- Russ Abbott          
                            Professor Emeritus, Computer ScienceCalifornia 
State University, Los AngelesOn Thu, Jan 5, 2023 at 11:31 AM Pieter Steenekamp 
<[email protected]> wrote:Thanks to the kind support of OpenAI's 
chatGPT, I am in the process of gathering materials for a comprehensive and 
hands-on deep learning workshop. Although it is still a work in progress, I 
welcome any interested parties to take a look and provide their valuable input. 
Thank you!You can get it from: 
https://www.dropbox.com/s/eyx4iumb0439wlx/deep%20learning%20training%20rev%2005012023.zip?dl=0
 Pieter
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