50-layer Residual Network - ImageNet

see https://github.com/fchollet/keras/blob/master/keras/applications/resnet50.py



In [1]:

    
WEIGHTS_FILEPATH = 'resnet50.hdf5'
MODEL_ARCH_FILEPATH = 'resnet50.json'



In [2]:

    
from keras.applications import resnet50, imagenet_utils









    



Using TensorFlow backend.



In [3]:

    
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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