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vgg16-in-keras's Issues

Jupyter kernel keeps dying

Hi

I was trying to run this project on jupyter notebook that I set up on ec2 t2.small instance, but the kernel keeps dying after model.fit_generator is supposed to run.

The message I get in command line is

KernelRestarter: restarting kernel (1/5), keep random ports
Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA

While I know it is just a warning and it should run just fine, I have no clue why the kernel keeps dying.

Any help is appreciated.

How to predict more than 2 classes in the end?

Helo, I need help. How to add more classes in the output below? I have 6 different classes of plant and i do not know how to edit at the end.

from keras.models import load_model
saved_model = load_model("VGG16_Model_FYP.h5")
output = saved_model.predict(img)
if output[0][0] > output[0][1]:
print("Kacip Fatimah")
else:
print('Mempisang')

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