see https://github.com/fchollet/keras/blob/master/keras/applications/resnet50.py
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WEIGHTS_FILEPATH = 'resnet50.hdf5'
MODEL_ARCH_FILEPATH = 'resnet50.json'
In [2]:
from keras.applications import resnet50, imagenet_utils
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input_shape = (224, 224, 3)
model = resnet50.ResNet50(include_top=True, weights='imagenet')
In [4]:
model.save_weights(WEIGHTS_FILEPATH)
with open(MODEL_ARCH_FILEPATH, 'w') as f:
f.write(model.to_json())
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