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

6 votes232 views5 answers
Os run shell command python
Python
0 vote230 views1 answer
How to estimate process timing python
Python
4 votes242 views5 answers
How to find runner up score in python
Python
0 vote265 views1 answer
Python array_combine
Python
105 votes242 views6 answers
Install opencv
Python
0 vote277 views1 answer
Candle stick with volume plotly
Python
0 vote254 views2 answers
Install pyttsx3
Python
0 vote234 views1 answer
Get a column of a csv python
Python
0 vote224 views1 answer
Pandas print dataframe dtypes
Python
9 votes303 views5 answers
Proxy request python
Python