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 vote106 views1 answer
Cptac dataset
Python
0 vote94 views1 answer
Finns = False
Python
0 vote167 views1 answer
Rolling window 2d array
Python
48 votes94 views6 answers
Uppercase python
Python
1 vote103 views1 answer
Ascending discending
Python
22 votes108 views4 answers
Palindrome words python
Python
0 vote95 views1 answer
Type of tuple in python
Python
1 vote100 views5 answers
Transpose a matrix in python
Python
1 vote107 views1 answer
Use sqlalchemy to create sqlite3 database
Python
0 vote97 views1 answer
Pytohn reset all dictionary values to 0
Python