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Model-Agnostic Meta-Learning

Model-Agnostic Meta-Learning

Introduction Model-Agnostic Meta-Learning (MAML) is a model and algorithm in the field of artificial intelligence. It tries to solve the inadequacies of the gradient-descent method and provide better weight initialization for every new task. It may be directly implemented to any learning problem and model. Methods like meta-learning subsidize the quest to attain artificial general … Read more