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An amendment to this paper has been published and can be accessed via a link at the top of the paper.Overparametrized deep networks predict well, despite the lack of an explicit complexity control during training, such as an explicit regularization term. For exponential-type loss functions, we solve this puzzle by showing an effective regularization effect of gradient descent in terms of the normalized weights that are relevant for classification.Understanding the mechanisms by which intermittent theta burst stimulation (iTBS) protoco
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