I get the bit about giving it information that it learns from information you give it and connecting its neural pathways to learn and whatever (I’m bad at explaining things), but how does it learn? How are you supposed to provide it with information, and how is it supposed even to begin learning in the first place?
I know that you input data, and the machine receives that data, tries to find patterns and do things; but how does it do this?
In: Technology
Let’s say you have a neural network with three parameters (A, B, C). You set them to random values (A0, B0, C0). Then you feed them an input, like an image of a cat, and see if they output “cat”. If they don’t, you change them to new values (A1, B1, C1), and see if they say “cat”. Eventually, it will say “cat”. Then you feed it a picture of a “dog”, and see if it says “dog”, repeat until it says “dog” for the dog and “cat” for the cat. Then you get another cat picture and repeat the process and then another dog picture. ….
After a million cat pics and a million dog pics your neural network will be trained. By the way, three won’t do it, you need millions of parameters.
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