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

                   callbacks=[ModelCheckpoint("weights/DenseNet-40-12-CIFAR10.h5", monitor="val_acc", save_best_only=True,
                                              save_weights_only=True)],
                   validation_data=test_generator.flow(testX, testY, batch_size=batch_size),
                   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]))

Instances