We will save the trained model in our local drive in the models folder in our current working directory. To save the model, run the following code −
directory = "./models/" name = 'handwrittendigitrecognition.h5' path = os.path.join(save_dir, name) model.save(path) print('Saved trained model at %s ' % path)
The output after running the code is shown below −
Now, as you have saved a trained model, you may use it later on for processing your unknown data.