📚 node [[metric|metric]]
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⥅ related node [[metric]]
⥅ related node [[metrics_api_(tf metrics)]]
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⥅ node [[metric]] pulled by Agora
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Metric.md by @KGBicheno
metric
Go back to the [[AI Glossary]]
A number that you care about. May or may not be directly optimized in a machine-learning system. A metric that your system tries to optimize is called an objective.
⥅ node [[metrics_api_(tf-metrics)]] pulled by Agora
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Metrics_Api_(Tf.Metrics).md by @KGBicheno
Metrics API (tf.metrics)
Go back to the [[AI Glossary]]
A TensorFlow API for evaluating models. For example, tf.metrics.accuracy determines how often a model's predictions match labels. When writing a custom Estimator, you invoke Metrics API functions to specify how your model should be evaluated.
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