Neural Networks and Deep Learning by Michael Nielsen is a good primer.
Chapter 1 (Using neural nets to recognize handwritten digits) walks through the specific use case on the MNIST dataset (with code near the bottom of the page).
joddm
seanmor5
Author of Genetic Algorithms in Elixir
If you like math and don’t mind reading a textbook:
If you don’t like math and you’d rather learn to the programming concepts:
Or if you’re willing to wait we can put some resources out there with explanations of Nx code 
6
lud
Thank you @joddm this look perfect.
@seanmor5 Thank you for the links, I will look into it. I am absolutely willing to wait for resources but I am not sure I understand your comment correctly. I’ve coded along with José while watching the video (with a two hours pause to compile XLA before the end 
) and it was easy ; because of the great work you made with him, the library is really easy to use. But as José said in the video disclaimer, the video was not about the underlying concepts, and he would not explain the choices of mathematical functions (except maybe for the softmax wich is easy to get). So now If you’re saying that you want to put resources to explain that, yes, I’ll wait anytime.
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gregvaughn
I’ll add one more book recommendation. I gave it a quick read-through last year and it helps with the overall concepts. I need to go back through it and work examples to get them to stick in my brain now.
5
AstonJ
There’s also currently an interview and AMA with the author over on Devtalk - anyone commenting/taking part in the thread will get entered into a draw where the winner can win of his books 
(He’s also the author of Metaprogramming Ruby which I thought was an amazing book and incredibly well written!)
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bdarla
drl123
Turns out this is one of the titles that Prag Prog has published on medium.com. You can read it for free with your medium membership: https://medium.com/pragmatic-programmers/table-of-contents-5dd5f8458f77.
2
LukeWood
Interesting… some serious potential for expressive neural network definition here.
Not sure if I’ll be using it in the near future as the tooling built for pytorch/tf is pretty well developed - but I’ll certainly be keeping an eye out Nx
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