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

This commit is contained in:
Absobel 2021-05-31 20:06:35 +02:00
parent c6f4714a4e
commit cc69233487
2 changed files with 7 additions and 9 deletions
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13
RUN.py
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@ -3,18 +3,19 @@
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
# net.SGD(training_data, 30, 10, 0.001, test_data=test_data)
# net = network.Network([784, 30, 10]) #Marche pas du tout apparemment
# net.SGD(training_data, 30, 10, 100.0, test_data=test_data)
print()
# net.SGD(training_data, 30, 10, 100.0, test_data=test_data)

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