📕 subnode [[@KGBicheno/model]]
in 📚 node [[model]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Model.md by @KGBicheno
model
Go back to the [[AI Glossary]]
The representation of what a machine learning system has learned from the training data. Within TensorFlow, model is an overloaded term, which can have either of the following two related meanings:
The TensorFlow graph that expresses the structure of how a prediction will be computed.
The particular weights and biases of that TensorFlow graph, which are determined by training.
📖 stoas
- public document at doc.anagora.org/model
- video call at meet.jit.si/model