#
# utilise X pour prédire y_prime
#
y_prime = model.predict_classes(X)
y_prime_rounded = [round(x[0]) for x in y_prime]

#
# affiche les différences
#
differences = 0
for i in range(y.shape[0]):
	if y_prime_rounded[i] != y[i]:
		print('expected=%d, found=%d' % (y[i], rounded[i]))
		differences += 1
		
print("differences=", differences)