Original article was published on Deep Learning on Medium
What is Semisupervised learning?[ML0to100] — S1E5
Some algorithms can deal with data that’s partially labeled. This is called semisupervised learning
Usecase Example- Google Photos
— Once you upload all your family photos to the service, it automatically recognizes that the same person A shows up in photos 1, 5, and 11, while another person B shows up in photos 2, 5, and 7. This is the unsupervised part of the algorithm (clustering). Now all the system needs are for you to tell it who these people are. Just add one label per per‐ son4 and it is able to name everyone in every photo, which is useful for searching photos
Most semisupervised learning algorithms are combinations of unsupervised and supervised algorithms.
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