BasicNeuralNetwork

Just messing around with neural network fundamentals. Discussion of this project can be found here.

Running basicNN

• Basic neural networks of specific sizes (two or three layer), mainly for learning how to build one.

>>> import basicNN as bNN
>>> n = bNN.TwoLayerNN()
>>> w = n.train()
>>> n.test([1,0,0],w)
0.9999370428352157

Running NeuralNetwork

• Combined and extended version of basicNN, allowing for the creation of any specific size of basic neural network.

>>> import NeuralNetwork as NN
>>> n = NN.NeuralNetwork(size=[3,1], eons=10000)
>>> n.train(trainingInputs=np.array([[0,0,1],[0,1,1],[1,0,1],[1,1,1]]), trainingOutput=np.array([[0,0,1,1]]).T))
>>> n.test([1,0,0])
0.9999370428352157