Keras model save

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")

Keras model save

keras_model_path = "/tmp/keras_save"
model.save(keras_model_path)


restored_keras_model = tf.keras.models.load_model(keras_model_path)

Source: tensorflow.org

Similar codes

0 vote133 views1 answer
Jupyter today date
Python
0 vote185 views1 answer
Appending hdf5 files
Python
0 vote210 views1 answer
Python cassandra
Python
0 vote137 views1 answer
Summation django queryset
Python Django
97 votes171 views6 answers
Get json from file python
Python
0 vote166 views1 answer
Multiprocessing pool pass additional arguments
Python
0 vote170 views1 answer
Ipywidget datepicker
Python
5 votes161 views1 answer
How to search for a specific file extension with python
Python
0 vote168 views1 answer
Python: Sending a variable to another script
Python
0 vote170 views1 answer
Python loading image file requires absolute path
Python