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Archive | Deep Learning

Plot of Range of He Weight Initialization With Inputs From One to One Hundred

Weight Initialization for Deep Learning Neural Networks

Weight initialization is an important design choice when developing deep learning neural network models. Historically, weight initialization involved using small random numbers, although over the last decade, more specific heuristics have been developed that use information, such as the type of activation function that is being used and the number of inputs to the node. […]

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