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 vote364 views1 answer
Set header in dataframe 2nd line
Python
0 vote328 views1 answer
Is_valid method django
Python Django
2 votes285 views2 answers
Pandas read excel certain columns
Python
1 vote271 views1 answer
How to find python location in cmd
Python
8 votes297 views6 answers
Redirect django
Python
0 vote275 views1 answer
How to stop a program after 1 second in python
Python
0 vote286 views1 answer
Sns prevent legend
Python
30 votes256 views2 answers
Mysql.connector methods python
Python
1 vote251 views1 answer
Image delete in django from the folder
Python
2 votes267 views2 answers
How to find a word in a string python
Python