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Looking for a "How-To" notebook on neural networks

I'm looking for tutorial notebooks on training and testing neural networks. I have a basic familiarity with Mathematica. Nothing more. I toyed around with a couple of neural networks that got better than baseline accuracy. I assume they would have been better if I understood available options and how to use them. The directed introductory webinars on machine learning and neural networks were interesting demonstrations of function capabilities but not much help in the how-to department. My hope here is to find tutorial notebooks that can walk me through the process of using Mathematica to train neural networks on some representative data, compare the effects of different parameters and are aimed at entry level folks like me.

POSTED BY: Jay Gourley
3 Replies
Posted 16 days ago

Not sure if by introductory webinars you mean these, but there are a few good video-based tutorials/follow-alongs:
https://www.wolfram.com/broadcast/video.php?c=105&disp=list&v=1838
https://www.wolfram.com/broadcast/video.php?c=442&v=2173
https://www.youtube.com/watch?v=rluQTP462OA
Those first two might be the ones you've mentioned about not being the best for the actual how-to though, sorry if so.
This:
https://reference.wolfram.com/language/tutorial/NeuralNetworksIntroduction.html#621730217
Also may be if help if you use the links to find what the functions do for some more information.

And this blog post (https://medium.com/practical-coding/youve-probably-missed-one-of-the-greatest-ml-packages-out-there-ff22549acee3) is also a pretty nice guide if you've already got some experience with neural nets as a whole.
Unfortunately I can't find or remember any actual tutorial notebooks, but hopefully some of this is helpful, good luck!

POSTED BY: T Vine

Thanks, T Vine. The Tech Note (the fourth link in your post) is exactly what I wanted.

If you have time to expand on where or how to find notebooks like that, I'd appreciate it. I wasted time searching for that kind of help before posting my question here.

Speaking only for myself, a tutorial that goes through a nuanced problem is easier for me than the more typical tutorials that bounce from function to function with trivial examples. And using an executable notebook allows me to focus and check my understanding as I go along.

Also, thanks for the blog post by Ernst. It wasn't what I asked for but was really helpful nonetheless.

POSTED BY: Jay Gourley
Posted 16 days ago

That's great, glad to be of assistance. I know completely what you mean, it really helps to cement the information I think. https://reference.wolfram.com/language/ is quite useful overall for finding information, although there aren't very many that use a specific problem unfortunately: it's still worth a look though, in my opinion, especially using the search bar. For actual notebooks, I'm afraid they're often quite hard to come by aside from the proper Wolfram Documentation. Ignoring that, I would say Medium (or other blog sites) can be really useful for hands-on tutorials, and I often go about that with search syntax, like (for Google at least), 'site:"medium.com" image recognition mathematica'. Being quite a small field, it only gave one useful result (building a Pokémon Card Detector in Mathematica), and not perhaps to everyones tastes, but still good for a follow along. Blog sites overall are good for finding other people's projects, and even if you have to research the functions yourself, it's a lot easier to understand (at least, in my opinion). Hence why using search syntax for certain sites is better too. In addition to that, I'd say trying slight edits to a search can be better too. For example, searching 'site:"medium.com" neural nets' returned much less useful information, because most of the posts will just be describing it and the functions, not doing a particular thing. Image-recognition, on the other hand, was more likely to have proper projects, if that makes sense?

Sorry for not being able to provide any concrete websites aside from the first, and notebooks, but hopefully this is of some use. Best wishes.

POSTED BY: T Vine
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