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

5 votes315 views3 answers
Sys python
Python
0 vote377 views1 answer
Xlrd documentation
Python
0 vote290 views1 answer
Pydub create empty track
Python
38 votes292 views6 answers
Pip is not recognized as an internal or external command
Python
62 votes340 views1 answer
How to check if there is a word in a string in python
Python
3 votes316 views1 answer
Load pandas from text
Python
8 votes325 views1 answer
Python startswith
Python
0 vote335 views1 answer
Calendly python
Python
3 votes310 views1 answer
Remove commas from string python
Python
0 vote317 views1 answer
Python submit work to redis
Python