NeuralNetwork/python/lab/neural.py

# Store a neuronal network

import numpy as np

class Network():
	"""
	Structure holding neural network attributes
	"""

	def __init__(self, activationFunction, activationDerivative, hiddenLength = 30):
		"""
		activationFunction : the ceil function to apply on network outputs
		activationDerivative : the derivative function of the activationFunction
		hiddenLength : number of neurons in the hidden layer
		"""
		self.inputLength = 784
		self.hiddenLength = hiddenLength
		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)