"""For any neuron, we calculate its range of activation for inputs of neural
networks in given range. For simplicity, we assume it is [0, 255]. We do it
from the beginning to the end of the network."""

import numpy as np
import theano
import theano.tensor as T
    
def conv(self):
    pass

def dropout(self):
    pass

def fully_connected(self):
    pass

def norm(self):
    pass

def pool(self):
    pass

def softmax(self):
    pass

"""For any neuron, we calculate its range of derivative of output with respect
to this neuron. We do it from the end to the beginning of the network. """

import numpy as np
import theano
import theano.tensor as T
    
def conv(self):
    pass

def dropout(self):
    pass

def fully_connected(self):
    pass

def norm(self):
    pass

def pool(self):
    pass

def softmax(self):
    pass

comment fix