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In TensorFlow, a value or set of values calculated at a particular step, usually used for tracking model metrics during training.
supervised machine learning
Training a model from input data and its corresponding labels. Supervised machine learning is analogous to a student learning a subject by studying a set of questions and their corresponding answers. After mastering the mapping between questions and answers, the student can then provide answers to new (never-before-seen) questions on the same topic. Compare with unsupervised machine learning.
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