#For loop iterate over the training set
for i in range(60000):
    
    #First layer is the input
    layer0 = X
    
    #Second layer can be obtained with the multiplication of each layer 
    #and its synapsis and then running sigmoid function 
    layer1 = sigmoid(np.dot(layer0, syn0))
    
    #Do the same with l1 and its synapsis 
    layer2 = sigmoid(np.dot(layer1,syn1))