The business impact of deep learning

Jeremy Howard
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引用次数: 16

Abstract

In the last year deep learning has gone from being a special purpose machine learning technique used mainly for image and speech recognition, to becoming a general purpose machine learning tool. This has broad implications for all organizations that rely on data analysis. It represents the latest development in a general trend towards more automated algorithms, and away from domain specific knowledge. For organizations that rely on domain expertise for their competitive advantage, this trend could be extremely disruptive. For start-ups interested in entering established markets, this trend could be a major opportunity. This talk will be a non-technical introduction to general-purpose deep learning, and its potential business impact.
深度学习对商业的影响
在过去的一年里,深度学习已经从一种主要用于图像和语音识别的特殊目的机器学习技术,变成了一种通用的机器学习工具。这对所有依赖数据分析的组织都有广泛的影响。它代表了朝着更自动化算法的总体趋势的最新发展,并且远离特定领域的知识。对于依靠领域专业知识来获得竞争优势的组织来说,这种趋势可能是极具破坏性的。对于有意进入成熟市场的初创企业来说,这一趋势可能是一个重大机遇。本次演讲将以非技术的方式介绍通用深度学习及其潜在的商业影响。
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