NeuralNetwork/python/lab/neural.py

# Hold the network attributes

import numpy as np

class Network():

	def __init__(self, activationFunction, activationDerivative):
		self.inputLength = 784
		self.hiddenLength = 30
		self.outputLength = 10
		self.activationFunction = activationFunction
		self.activationDerivative = activationDerivative

		self.layer1 = np.zeros((self.hiddenLength, self.inputLength))
		self.bias1 = np.zeros(self.hiddenLength)

		self.layer2 = np.zeros((self.outputLength, self.hiddenLength))
		self.bias2 = np.zeros(self.outputLength)