Answers for "save and load keras model"

8

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")
Posted by: Guest on August-27-2021
5

load model keras

from tensorflow import keras
model = keras.models.load_model('path/to/location')
Posted by: Guest on June-04-2020
0

how to load keras model from json

json_file = open('model.json', 'r')
loaded_model_json = json_file.read()
json_file.close()
loaded_model = model_from_json(loaded_model_json)
# load weights into new model
loaded_model.load_weights("model.h5")
Posted by: Guest on November-05-2020
1

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')
Posted by: Guest on January-14-2020

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