基于深度学习的图像识别方法

Xin Jia
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引用次数: 39

摘要

深度学习算法是机器学习算法的一个子集,旨在发现多层分布式表示。最近,人们提出了许多深度学习算法来解决传统的人工智能问题。这项工作旨在通过强调最近研究论文的贡献和挑战来回顾计算机视觉中深度学习算法的最新进展。首先概述了各种深度学习方法及其最新发展,然后简要描述了它们在不同视觉任务中的应用。最后,总结了深度神经网络设计和训练的未来趋势和挑战。
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Image recognition method based on deep learning
Deep learning algorithms are a subset of the machine learning algorithms, which aim at discovering multiple levels of distributed representations. Recently, numerous deep learning algorithms have been proposed to solve traditional artificial intelligence problems. This work aims to review the state-of-the-art in deep learning algorithms in computer vision by highlighting the contributions and challenges from recent research papers. It first gives an overview of various deep learning approaches and their recent developments, and then briefly describes their applications in diverse vision tasks. Finally, the paper summarizes the future trends and challenges in designing and training deep neural networks.
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