Ajout d'un print des resultats sans passer par le test à chaque epoch

RUN.py

@@ -3,12 +3,15 @@
 import mnist_loader
 training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
 
+print(list(training_data)[0][1])
+
 import network
 
-# net = network.Network([784, 30, 10])                                         #Testé : 94,56%
-# net.SGD(training_data, 30, 10, 3.0, test_data=test_data)
+#net = network.Network([784, 30, 10])                                         #Testé : 94,56%
+#net.SGD(training_data, 10, 10, 3.0, test_data=None)
+#print("Results : {} / 10000".format(net.evaluate(test_data)))
 
-# net = network.Network([784, 100, 10])                                          #Marche mieux apparemment
+# net = network.Network([784, 100, 10])                                          #Marche mieux apparemment
 # net.SGD(training_data, 30, 10, 3.0, test_data=test_data)
 
 # net = network.Network([784, 100, 10])                                        #Marche pas bien apparemment
@@ -16,5 +19,3 @@ import network
 
 # net = network.Network([784, 30, 10])                                         #Marche pas du tout apparemment
 # net.SGD(training_data, 30, 10, 100.0, test_data=test_data)
-
-print()

network.py

@@ -147,6 +147,3 @@ def sigmoid(z):
 def sigmoid_prime(z):
     """Derivative of the sigmoid function."""
     return sigmoid(z)*(1-sigmoid(z))
-
-
-