In TensorFlow, a summary is a recorded value or set of values computed at a training step for monitoring and visualization. Summaries commonly track metrics such as loss, accuracy, gradients, or other diagnostic information.
In TensorFlow, a value or set of values calculated at a particular step, usually used for tracking model metrics during training.