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Jun, 2024
神经网络如何学习:隐含于随机梯度下降的正则化效应
How Neural Networks Learn the Support is an Implicit Regularization Effect of SGD
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Pierfrancesco Beneventano, Andrea Pinto, Tomaso Poggio
TL;DR
深度神经网络能够有效地学习目标函数的支持,并且小批量随机梯度下降具有隐式正则化效果,通过学习特征的结构,提高特征的可解释性。
Abstract
We investigate the ability of
deep neural networks
to identify the
support
of the target function. Our findings reveal that
mini-batch sgd
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