3a3dc678e50e60f9cf05e95e992ab873046c1b8f,cifar10.py,,,#,14

Before Change

//                    validation_data=(testX, Y_test),
//                    nb_val_samples=testX.shape[0], verbose=1)

yPreds = model.predict(testX)
yPred = np.argmax(yPreds, axis=1)
yTrue = testY

accuracy = metrics.accuracy_score(yTrue, yPred) * 100

After Change

                   nb_val_samples=testX.shape[0], verbose=1)

scores = model.evaluate_generator(test_generator.flow(testX, testY, nb_epoch), testX.shape[0])
print("Accuracy = %f" % (100 * scores[1]))
print("Error = %f" % (100 - 100 * scores[1]))

Instances