How to save final model using keras?

Question

I use KerasClassifier to train the classifier.

The code is below:

import numpy
from pandas import read_csv
from keras.models import Sequential
from k         


        

Answer 1

you can save the model and load in this way.

from keras.models import Sequential, load_model
from keras_contrib.losses import import crf_loss
from keras_contrib.metrics import crf_viterbi_accuracy

# To save model
model.save('my_model_01.hdf5')

# To load the model
custom_objects={'CRF': CRF,'crf_loss':crf_loss,'crf_viterbi_accuracy':crf_viterbi_accuracy}

# To load a persisted model that uses the CRF layer 
model1 = load_model("/home/abc/my_model_01.hdf5", custom_objects = custom_objects)