Home / Business & Management / AI & Robotics / Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems / Generalisation, bias and overfitting
Generalisation, bias and overfitting
What happens when a machine learning system encounters new data that it wasn't trained on? Dr Katrina Attwood explains more
A machine learning system uses training data to learn a function that maps inputs to outputs. But will the system produce sensible output when presented with input it has never seen before?
Dr Katrina Attwood explains more.
This article is from the online course:
Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems
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This article is from the free online
Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems
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