tensorflow save variables
Variables: Creation, Initialization, Saving, and Loading. When you train a model, you use variables to hold and update parameters. Variables are in-memory buffers containing tensors. They must be explicitly initialized and can be saved to disk during and after training. You can later restore saved values to exercise or analyze the model. This document references the following TensorFlow classes.