afef503d34919fb2febc0b475085f140e1a4e977,ann_architectures/cifar10/alexnet.py,,,#,24

Before Change

print("Test score:", score[0])
print("Test accuracy:", score[1])

filename = "{:2.2f}".format(score[1] * 100)
open(filename + ".json", "w").write(model.to_json())
model.save_weights(filename + ".h5", overwrite=True)

After Change

history = model.fit_generator(trainflow, nb_epoch=nb_epoch,
                              samples_per_epoch=X_train.shape[0],
                              validation_data=testflow,
                              nb_val_samples=len(X_test))
plot_history(history)

score = model.evaluate_generator(testflow, val_samples=len(X_test))

Instances