Comments (6)
I solved it by importing the EfficientNetB4
The problem is that it looks some functions, therefore, we have to import them.
from efficientnet.tfkeras import EfficientNetB4
model = models.load_model('your_model.h5')
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Use the below link to download Noisy student weights without top and train the model.
This solved me the issue of FixedDropout in load_model
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Thanks, @RakeshRaj97 It worked Now
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@isahhin Thinks,it did work.
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I did like this, But I have this error.
pls any one can help me....
ValueError: Unknown layer: FixedDropout. Please ensure this object is passed to the custom_objects
argument. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details.
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hey, same here. Did you find out how to access FixedDropout layer?
I try to do something like keras.layers.FixedDropout
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