Esempi in Python per NeuralNet.detection

Esempio n. 1

               epochs=500,
               eta=0.001,
               alpha=0.001,
               decrease_const=0.00001,
               shuffle=True,
               minibatches=50,
               random_state=1)
nn.fit(X_train, y_train, print_progress=True)

# --------end-learning--------

print('\n')

# --------examples-type-1--------
##-1-
print(nn.detection(nn, 20))
# return 1

##-2-
print(nn.detection(nn, 30))
# return 2

##-3-
print(nn.detection(nn, 40))
# return 1

##-4-
print(nn.detection(nn, 60))
# return 2

##-5-