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A Gentle Introduction to Meta-Learning

Learning to learn

Human begins can learn new things in a few examples, while deep learning thus far is data-hungry. To have a good performance model, millions, or even billions of training examples definitely is a classic way to achieve it. Data augmentation is one of the methods to generate synthetic samples. Moreover, the standard neural networks cannot learn new knowledge on the fly.