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简介在不断发展的人工智能和机器学习领域，深度学习技术由于其处理复杂和高维数据的能力而获得了巨大的普及。在各种深度学习模型中，堆叠自动编码器作为一种多功能且强大的工具脱颖而出，用于特征学习、降维和数据表示。本文探讨了堆叠式自动编码器在深度学习领域的架构、工作原理、应用和意义。自动编码器：简要概述 ...

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一、深度自编码器自编码器自编码器（Auto-encoder）是一种无监督学习的方法，可以用来进行数据的降维。对于我们的输入数据，可以将其通过一个Encoder来获得一个低维的code，然后将这个code通过一个Decoder来重建原来的数据，而Encoder和Decoder是一起训练。下图以手写数字...

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