One-Shot Learning: The End of Big Data?
Recently, a Bayesian probabilistic model outperformed neural networks and humans in classifying written letters using very small datasets. One-shot learning is a type of machine learning that learns an object class after just one or a few examples. This is similar to how humans learn to identify objects, creating a rich, abstract template of objects… Read More »