Scott Kleinman

So happy to be on board! Thanks, @drjwbaker and @tiagosousagarcia for the extra support. I'll have some first feedback towards the end of the week.

I've made some small editorial changes summarised below. I'll get my larger suggestions up in a separate post as soon as I can. - para 1: Change "has" to "have"...

@nabsiddiqui, this was a wonderful tutorial, and I really learnt a lot (despite the fact that the resulting model thinks a picture of me and my wife is a "boat"!)....

Yes, that timetable is fine for me as well. Let us know if you have any questions.

@nabsiddiqui, In reviewing the submission, I put together a set of instructions for making clear how to use Teachable Machine; however, I then lost it when posting my suggestions above....

I've made a few more copy edits, but, otherwise, I am happy to move this to peer review.

The Programming Historian has received the following tutorial on 'Creating Deep Neural Networks for Regression Analysis' by @nabsiddiqui. This lesson is now under review and can be read at: https://programminghistorian.github.io/ph-submissions/en/drafts/originals/image-classification-neural-networks...

Thanks to our two reviewers, @melvinwevers and @zentralwerkstatt. There are a lot of good suggestions there. @nabsiddiqui, I'll be taking stock over the weekend, and I'll try to get you...

After re-reading the tutorial and our reviewers' thoughts, I think the biggest issue is the choice of Javascript as the language for exploring the model. This has implications for both...

Thanks, @nabsiddiqui. I should be able to get to this by Monday and will update this issue then.