When it comes to performing few-shot learning tasks, deep neural nets fail to live up to their expectation. Because in a few-shot learning task, the classifier has to make generalisation after every few examples from each class. Meta-learning came into light when its techniques were put in to use for optimisation of hyperparameters, neural networks…

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