深度学习的结构和算法预览

2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP) Pub Date : 2014-12-01 DOI:10.1109/ICCWAMTIP.2014.7073385

Ping Kuang, Wei-Na Cao, Q. Wu

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引用次数: 27

摘要

Hinton等人提出的深度学习是多层神经网络的一种新的学习算法，也是机器学习中一个新的研究领域。本文介绍了深度学习的结构和浅学习的优点，并详细分析了当前流行的学习算法。最后，分析了深度学习的研究方向和未来前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Preview on structures and algorithms of deep learning

Deep learning proposed by Hinton et al is a new learning algorithm of multi-layer neural network, and it is also a new study field in machine learning. This paper describes the structures and advantages to shallow learning of deep learning, and analyzes current popular learning algorithm in detail. Finally, this paper analyzes research directions and future prospects of deep learning.

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2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)

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