Storing your models

In order to be able to deploy your models to production, you need to be able to store a trained model on disk. CNTK offers two ways to store models on disk. You can either store checkpoints to continue training at a later time, or you can store a portable version of your model. Each of these storage methods has its own use.

Storing model checkpoints to continue training at a later point

Some models take a long time to train, sometimes up to weeks at a time. You don't want to lose all your progress when your machine crashes during training, or if there's a power outage.

This is where checkpointing becomes useful. You can create a checkpoint during training using a CheckpointConfig object. You...