Unknown initializer: GlorotUniform when loading Keras model

Question

I trained my CNN (VGG) through google colab and generated .h5 file. Now problem is, I can predict my output successfully through google colab but when i download that .h5 tr

Answer 1

I had a same problem and was fixed this way. just don't save the optimizer with the model! just change the save line like this:

the_model.save(file_path,True/False,False)

Second parameter tells Keras to overwrite the model if the file existed or not and the 3rd one tells it not to save the optimizer with the model.

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Edit: I ran over the problem again on another system today and this did not helped me this time. so i saved the model conf as json and weights as h5 and used them to rebuild the model in another machine. you can do it like this. save like this:

json = model.to_json()
# Save the json on a file
model.save_weights(weights_filepath,save_format="h5")

rebuild the model like this:

# load the json file
# here i use json as loaded content of json file
model = keras.models.model_from_json(json)
model.load_weights(weights_file_path)