old_contents: from deel import *
  from deel.network import *
  from deel.network.googlenet import *
  from deel.commands import *
  import time
  deel = Deel(gpu=-1)
  
  import chainer.functions as F
  p = Perceptron(layers=(2,1),activation=F.sigmoid)
  
  
  x = Tensor(value=[[0,0],[0,1],[1,0],[1,1]])
  t = Tensor(value=[[0],[0],[0],[1]])
  
  for i in range(3000):
  	print p.forward(x).value
  	print p.backprop(t)
  
  
  start = time.clock()
  end = time.clock()
  print end -start
  
  
new_contents: from deel import *
  from deel.network import *
  from deel.commands import *
  import time
  deel = Deel(gpu=-1)
  
  import chainer.functions as F
  p = Perceptron(layers=(2,1),activation=F.sigmoid)
  
  
  x = Tensor(value=[[0,0],[0,1],[1,0],[1,1]])
  t = Tensor(value=[[0],[0],[0],[1]])
  
  for i in range(3000):
  	print p.forward(x).value
  	print p.backprop(t)
  
  
  start = time.clock()
  end = time.clock()
  print end -start
  
  
subject: fix percepron.py