📕 subnode [[@KGBicheno/metrics_api_(tf metrics)]]
in 📚 node [[metrics_api_(tf-metrics)]]
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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.
📖 stoas
- public document at doc.anagora.org/metrics_api_(tf-metrics)
- video call at meet.jit.si/metrics_api_(tf-metrics)