fpga在深度学习中的作用

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays Pub Date : 2017-02-22 DOI:10.1145/3020078.3030013

A. Ling, J. Anderson

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引用次数: 11

摘要

深度学习作为一种人工智能(AI)范式最近获得了显著的关注，在图像和语音识别、自然语言理解、自动驾驶汽车和游戏(例如阿尔法围棋)等广泛应用中取得了成功。本次特别会议致力于探讨fpga在这一重要的快速发展领域的潜在作用。

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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The Role of FPGAs in Deep Learning

Deep learning has garnered significant visibility recently as an Artificial Intelligence (AI) paradigm, with success in wide ranging applications such as image and speech recognition, natural language understanding, self-driving cars, and game playing (e.g., Alpha Go). This special session is devoted to exploring the potential role of FPGAs in this important fast-evolving domain.

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来源期刊

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

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