feedforward step for neural net

feedforward.py

def feed_forward(self,x):
	"""
	Calculate the value(s) of the neural net at the output level.
	"""
	y_guess = self.act(T.dot(x,self.W[0])+ self.b[0])
	for i in xrange(1,len(self.W)):
		W = self.W[i]
		b = self.b[i]
		if i == len(self.W)-1:
			y_guess = T.nnet.softmax(T.dot(y_guess,W)+b)
		else: 
			y_guess = self.act(T.dot(y_guess,W)+b)

	return y_guess