Hi Russ, Thank you so much for providing such valuable feedback. I appreciate your thoughts and am taking them very seriously.
Regarding the choice of Python over R, I agree with your recommendation and plan to focus solely on Python. Your comments about the overall approach of the workshop have given me pause to reconsider my initial plan. It is clear that the current material does not meet the stated objective of providing a comprehensive understanding of the principles of deep learning. Rather, it is intended to empower participants to utilize deep learning in their daily work. I am considering two options: either making it clear that the workshop is not designed to cover the principles in-depth, or revising the material to meet the stated objective. I am also open to finding a middle ground, such as incorporating more theory while being transparent about the workshop's goals. I would be very interested in exploring the possibility of collaborating with you to develop some introductory deep learning training material. Perhaps we can continue this conversation off this platform? Please don't hesitate to reach out to me at piet...@randcontrols.co.za. Pieter On Sun, 8 Jan 2023 at 01:19, Russ Abbott <russ.abb...@gmail.com> wrote: > Hi Pieter, > > A few comments. > > - Much of the actual deep learning material looks like it came from > the Kaggle "Deep Learning > <https://www.kaggle.com/learn/intro-to-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 Science > California State University, Los Angeles > > > On Thu, Jan 5, 2023 at 11:31 AM Pieter Steenekamp < > piet...@randcontrols.co.za> 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 >> >> -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. . >> FRIAM Applied Complexity Group listserv >> Fridays 9a-12p Friday St. Johns Cafe / Thursdays 9a-12p Zoom >> https://bit.ly/virtualfriam >> to (un)subscribe http://redfish.com/mailman/listinfo/friam_redfish.com >> FRIAM-COMIC http://friam-comic.blogspot.com/ >> archives: 5/2017 thru present >> https://redfish.com/pipermail/friam_redfish.com/ >> 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ >> > -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. . > FRIAM Applied Complexity Group listserv > Fridays 9a-12p Friday St. Johns Cafe / Thursdays 9a-12p Zoom > https://bit.ly/virtualfriam > to (un)subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: 5/2017 thru present > https://redfish.com/pipermail/friam_redfish.com/ > 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ >
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