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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2016-09-01 19:04:44 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-09-01 20:17:36 -0700
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When you train a model, you use [variables](../../api_docs/python/state_ops.md)
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 analyse
+and after training. You can later restore saved values to exercise or analyze
the model.
This document references the following TensorFlow classes. Follow the links to