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Neural Network JavaScript library for Coding Train tutorials

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Tested on mnist and xor with default settings and multi hidden layers. Examples doesn't need to be rewriten. Does the same: NeuralNetwork(2, 4, 1) NeuralNetwork(2, [4], 1) For more layers...

updated pull on master

this come up when I tried to mutate this is the line: at Matrix.map (VM245 matrix.js:105:27)

Just a small typo in the comment which makes it more understandable

` import random import math def sigmoid(x, a, b): return 1/(1 + math.exp(-x)) def dsigmoid(y, a, b): return y * (1 - y) class Matrix(): def __init__(self, rows, cols): self.rows...

I have a neural network library called MentisJS. It has conv, deconv, and Residual layers. Here is a link to the project. [link](https://github.com/TrevorBlythe/MentisJS)

Changed my GitHub username so I'd like to update the broken link here. :D

The matrix object is meant to return the value of arr[i] else it will return undefined

I added my own Multilayered neural network library using python.