
This book is for anyone who wants to understand what neural network[s] are. It's for anyone who wants to make and use their own. And it's for anyone who wants to appreciate the fairly easy but exciting mathematical ideas that are at the core of how they work. This guide is not aimed at experts in mathematics or computer science. You won't need any special knowledge or mathematical ability beyond school maths [sic]... Teachers can use this guide as a particularly gentle explanation of neural networks and their implementation to enthuse and excite students making their very own learning artificial intelligence with only a few lines of programming language code. The code has been tested to work with a Raspberry Pi, a small inexpensive computer very popular in schools and with young students"--(page 6, Introduction)
NON-FICTION:
The Blind Watchmaker - Richard Dawkins
Make Your Own Neural Network - Tariq Rashid
FICTION:
Black River Orchard - Chuck Wendig. Just an exceptionally well written horror story. Not necessarily super scary per-se, but well written and enjoyable to read. And I thought Wendig really "stuck the landing" with the ending.
Holly - Stephen King. King has written a LOT of novels and I've read the majority of them over the past 35 some odd years. And Holly may well be the most fucked up shit King has ever written. Note that it's not really horror, and there are no overtly paranormal / supernatural aspects to this. The "evil" here is purely human evil (which is arguably the most terrifying, since it's more real). Seriously though, not much bothers me and this was on the border of making me physically queasy in spots. And further,
SPOILER ALERT
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if anybody ever utters the expression "elf balls" in my presence, I may very well punch them in the throat.
This one doesn't use any frameworks. The next book by the author (on GANs) uses PyTorch. The math is relatively easy to follow I think.
Andrew Ng's courses on Coursera can be viewed for free and have sightly more rigorous math, but still okay.
You don't have to understand every mathematical detail, same as you don't need every mathematical detail for 3d graphics. But knowing the basics should be good I think!
https://www.amazon.com.au/Make-Your-Own-Neural-Network-ebook...
I was able to adapt the code for my own mouse-drawn-symbols recognizer for my AI class project.
A couple years ago I started studying ML, and I have a design background, so I needed to digest all the math and concepts slowly in order to understand them properly.
Now I think I understand most of the fundamental concepts, and I've been using it quite a lot for creative applications and teaching, and I have to say the best resource I've found for beginners, by far, is "Make Your Own Neural Network" by Tariq Rashid.
It starts really from the beginning and it takes you through all the steps of building a NN from zero, with no previous knowledge. really good.
1. https://www.amazon.com/Make-Your-Own-Neural-Network/dp/15308...