📕 subnode [[@KGBicheno/summary]]
in 📚 node [[summary]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Summary.md by @KGBicheno
summary
Go back to the [[AI Glossary]]
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.
📖 stoas
- public document at doc.anagora.org/summary
- video call at meet.jit.si/summary