深度学习:概述

Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2018-10-24 DOI:10.1145/3289402.3289538

Wissal Farsal, S. Anter, M. Ramdani

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引用次数: 6

摘要

深度学习是一个蓬勃发展的研究领域，在不同的领域有许多成功的应用。这篇文章是为了提供深度学习的最新进展而写的。在某种程度上，我们将提供必要的历史概述，以理解奠定当今深度学习基础的概念。我们将介绍不同的方法，这些方法使深度学习模型在各种现代实践中以非常高的规模成功训练成为可能。

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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Deep Learning: An Overview

Deep learning is a thriving research area with many successful applications in different fields. The article is written with a view to provide a state of the art review of deep learning. To some extent, we will present a historical overview necessary to understand the concepts that laid the foundations of today's Deep Learning. We will cover different methods that made the successful training of deep learning models possible at a very high scale in various modern practices.

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Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications

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