<div dir="ltr"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)">Hi Pieter,</div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)"><br></div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)">A few comments.</div><div class="gmail_default" style="font-family:arial,helvetica,sans-serif;font-size:small;color:rgb(0,0,0)"><ul><li>Much of the actual deep learning material looks like it came from the Kaggle "<a href="https://www.kaggle.com/learn/intro-to-deep-learning">Deep Learning</a>" sequence.</li><li>In my opinion, R is an ugly and <i>ad hoc</i> language. I'd stick to Python.</li><li>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. <br><br>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. </li></ul><div><span style="font-family:Arial,Helvetica,sans-serif;color:rgb(34,34,34)">-- Russ Abbott </span><br></div></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr">Professor Emeritus, Computer Science<br>California State University, Los Angeles<br></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, Jan 5, 2023 at 11:31 AM Pieter Steenekamp <<a href="mailto:pieters@randcontrols.co.za">pieters@randcontrols.co.za</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr">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!<br><br>You can get it from: <br><a href="https://www.dropbox.com/s/eyx4iumb0439wlx/deep%20learning%20training%20rev%2005012023.zip?dl=0" target="_blank">https://www.dropbox.com/s/eyx4iumb0439wlx/deep%20learning%20training%20rev%2005012023.zip?dl=0</a> <div><br></div><div><div>Pieter<br><br></div></div></div>
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