Persistent Machine Learning
Use python pickle library to dump your trained model on your hard drive and load model and test for persistent results.
I have a super basic machine learning question. I've been working through various tutorials and online classes on machine learning and the various techniques to learning how to use it, but what I'm not seeing is the persistent application piece.
So, for example, I train a network to recognize what a garden gnome looks like, but, after I run the training set and validate with test data, how do I persist the network so that I can feed it an individual picture and have it tell me whether the picture is of a garden gnome or not? Every tutorial seems to have you run through the training/validation sets without any notion as of how to host the network in a meaningful way for future use.
Thanks!