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
error = 100 - accuracy
print("Accuracy : ", accuracy)
print("Error : ", error)

After Change

model.load_weights("weights/DenseNet-40-12-CIFAR10.h5")
print("Model loaded.")

model.fit_generator(generator.flow(trainX, Y_train, batch_size=batch_size), samples_per_epoch=len(trainX), nb_epoch=nb_epoch,
                   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),

Instances