[FRIAM] Deep learning training material

[Pieter Steenekamp]

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 pieters at randcontrols.co.za.

Pieter

On Sun, 8 Jan 2023 at 01:19, Russ Abbott <russ.abbott at 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 <
> pieters at 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
>>
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