Saving Keras Models

Saving the model to the file

# Generating the description of the model in json

model_json = model.to_json()

# Writing model description to the file

json_file = open("mnist_model.json", "w")

json_file.write(model_json)

json_file.close()

# Storing trained weights

model.save_weights("mnist_model.h5")

Loading the model

from keras.models import model_from_json

# Load architecture of the model from the json

json_file = open("mnist_model.json", "r")

loaded_model_json = json_file.read()

json_file.close()

# Create the model from json description

loaded_model = model_from_json(loaded_model_json)

# Load pretrained weights

loaded_model.load_weights("mnist_model.h5")

# Compiling the model before using

loaded_model.compile(loss="categorical_crossentropy", optimizer="SGD", metrics=["accuracy"])

HDF5 file viewer

https://support.hdfgroup.org/products/java/hdfview/