Answers for "keras model save_weights"

8

how to save and load model in keras

# To save the model:

from keras.models import save_model

# you can write whatever you desire instead of 'my_model'
# model = Your trained model
model.save('my_model')

# To load the model:

from keras.models import load_model

reconstructed_model = load_model("my_model")
Posted by: Guest on August-27-2021
1

serialize keras model

# Save the modelmodel.save('path_to_my_model.h5')# Recreate the exact same model purely from the filenew_model = keras.models.load_model('path_to_my_model.h5')
Posted by: Guest on January-14-2020

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