semi-supervised-learning

Vocabulary Word

Definition

'Semi-supervised learning' is a type of artificial intelligence learning where the computer learns from both labelled data and unlabelled data. Think of it like learning a language by vocabulary words and then some random conversations without translations.

Examples in Different Contexts

Computer vision applications often use semi-supervised learning to train models on images where only some are annotated. A computer vision specialist might note, 'Semi-supervised learning allows us to achieve higher accuracy with fewer labeled images.'

Practice Scenarios

Tech

Scenario:

The new voice assistant is performing well, but there is still room for improvement. We should enhance it with more advanced learning techniques.

Response:

That's a good point. I think semi-supervised learning can be a fitting solution for us to improve its learning efficiency.

Scenario:

Our text recognition system needs an upgrade. It's not performing up to the mark with only handwritten texts.

Response:

I agree. Implementing a semi-supervised learning approach might significantly improve our text recognition capabilities.