isLouisHsu / isLouisHsu/isLouisHsu.github.io
Batch Normalization | LOUIS' BLOG
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Description
https://louishsu.xyz/2019/08/27/Batch-Normalization/
前言深度学习网络可通过mini-batch随机梯度下降的方式进行优化,然而在优化过程中,存在梯度消失、收敛不稳定的问题。 原理机器学习中,假定训练数据与测试数据独立同分布(independent and identical independent),当输入数据进行白化操作后,可使模型收敛速度加快,这被称作Covariate Shift。 而在神经网络内部,各层的特征图数据分布不均匀,称为Inter
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The issue contains a link to the Batch Normalization blog post and a partial excerpt, but names no repository file, test, or entry point. Read the linked post and inspect the blog's content structure first; the intended change and definition of done need clarification before work starts.
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