SiNN 0.0.3

A simple way to make neural nets: Machine learning without linear algebra

Simple Neural Net Module

Install requirement:

pip install numpy

Install module:

pip install SiNN or download module.py from GitHub.

Quick-Start Guide

Import SiNN: import SiNN

Initialize the neural net: neuralnet = SiNN.NeuralNetwork(3) # 3 is the number of inputs

Create a variable with training set inputs:

ins = array([[1a, 1b, 1c], [2a, 2b, 2c], [3a, 3b, 3c]])

Set the expected outcomes (training set outs):

outs = array([[1,1,0]]).T # don't worry about the .T

Train with neuralnet.train(ins, outs, iters), where iters is the amount of training cycles. A number around 1000 is normally good for simple uses.

Then, see if it works with neuralnet.think([a,b,c]).

Present it with a new situation with neuralnet.think(newsit)

Note: use python 3 with this.