深度学习的未来:挑战与解决方案

M. Robins
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引用次数: 1

摘要

Mark将从深度学习的简要概述开始,以及它最近流行的原因。他将提供一些基于英特尔Nervana最近工作的深度学习应用的演示和示例。他将解释深度学习持续发展的一些挑战,例如高计算要求和冗长的训练时间,并将讨论英特尔Nervana正在开发的一些解决方案(例如定制深度学习硬件),以迎接更强大的人工智能的新时代。
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The Future of Deep Learning: Challenges & Solutions
Mark will begin with a brief overview of deep learning and what has led to its recent popularity. He will provide a few demonstrations and examples of deep learning applications based on recent work at Intel Nervana. He will explain some of the challenges to continued progress in deep learning - such as high compute requirements and lengthy training time - and will discuss some of the solutions (e.g. custom deep learning hardware) that Intel Nervana is developing to usher in a new era of even more powerful AI.
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