Implementation of VGG16 architecture in Keras
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License: Apache License 2.0
Implementation of VGG16 architecture in Keras
License: Apache License 2.0
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')
Hi, is this the same as the VGG16 application provided by keras
https://www.tensorflow.org/api_docs/python/tf/keras/applications/VGG16
Can the Keras application be used as-is to train on new data?
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 create confusion matrix
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