I’am using your code for VGG-16 pre-trained model for Keras but with my own weights.
`
f = h5py.File(weights_path)
nb_layers = len(f.attrs["layer_names"])
for k in range(nb_layers):
if k >= len(model_MS.layers):
without the last (fully-connected) layers in the savefile
break
g = f['layer_{}'.format(k)]
weights = [g['param_{}'.format(p)] for p in range(g.attrs['nb_params'])]
model.layers[k].set_weights(weights)
model.layers[k].trainable = False
f.close()
print`
This is the error I'm having:
KeyError: "Can't open attribute (can't locate attribute: 'nb_params')"
@jacobgil
I’am using your code for VGG-16 pre-trained model for Keras but with my own weights.
` f = h5py.File(weights_path) nb_layers = len(f.attrs["layer_names"]) for k in range(nb_layers): if k >= len(model_MS.layers):
without the last (fully-connected) layers in the savefile
This is the error I'm having:
KeyError: "Can't open attribute (can't locate attribute: 'nb_params')"g has only this attributes : ['weight_names']
I described my error in this post: https://stackoverflow.com/questions/58806714/keyerror-cant-open-attribute-cant-locate-attribute-nb-params