Comments (4)
nhannguyen2709
commented on July 24, 2024
2
@NicolettaK You got that error since keras_resnet library uses a custom BatchNormalization layer
The following code works for me:
model = load_model(model_path, custom_objects={'BatchNormalization': keras_resnet.layers.BatchNormalization})
from keras-resnet.
hgaiser
commented on July 24, 2024
load_model is implemented in keras.models. Try:
model = keras.models.load_model(model_path)
from keras-resnet.
NicolettaK
commented on July 24, 2024
When I reload a saved model with keras.models.load_model(model_path)
I got a the following error:
TypeError: ('Keyword argument not understood:', 'freeze')
how can I overcome it?
from keras-resnet.
AirFishWang
commented on July 24, 2024
@NicolettaK You got that error since keras_resnet library uses a custom BatchNormalization layer
The following code works for me:
model = load_model(model_path, custom_objects={'BatchNormalization': keras_resnet.layers.BatchNormalization})
@nhannguyen2709 it not works for me, I don't know why
from keras-resnet.
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from keras-resnet.