Save_Model.py

# Two ways of doing it.

"""
1.Using pickle a python library.
2.With keras.
"""

""" 1.Serialzing with pickle."""

with open("path/name.pkl","wb") as file:
    pickle.dump(model,file)  
    
""" 2.Saving model with keras. """

# 1.Entire model saving.
from keras.models import load_model
model.save('model_name.h5')  # create a h5 file 

# 2.Saving model weights with architecture.
# it's is recommended to save architecture first as a json (or) yaml file then save weights. Otherwise you get an
# error "read only mode" while loading.

json_arch=model.to_json() # after getting architecture write as json file to disk for loading with weights in future.
for open("model_arch.json","wb") as file:
    file.write(json_arch)
model.save_weights("model_weights.h5")

# Note: It is not recommended to use pickle for saving keras model.