Load model keras

from tensorflow import keras
model = keras.models.load_model('path/to/location')

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')

Source: tensorflow.org

Keras load model with custom objects

model = load_model(path,custom_objects={"weighted_loss":weighted_loss})

Source: stackoverflow.com

Similar codes

0 vote281 views1 answer
Self.find_by_id
Python
0 vote286 views1 answer
Compress image pillow
Python
0 vote270 views1 answer
Z transform in python
Python
0 vote289 views1 answer
Cannot cast type smallint to boolean django
Python
0 vote297 views1 answer
Python flatten one liner
Python
1 vote309 views2 answers
Explode multiple columns pandas
Python
0 vote234 views1 answer
Xgboosat save_model
Python
0 vote269 views1 answer
Pandas define how you want to aggregate each column
Python
0 vote317 views1 answer
Creating empty set and append python
Python
0 vote334 views1 answer
How to set and run flask app on terminal
Python Flask