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深度学习是新的42吗？Is Deep Learning the New 42? |
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| 课程网址: | http://videolectures.net/kdd2016_broder_deep_learning/ |
| 主讲教师: | Pedro Domingos |
| 开课单位: | 华盛顿大学 |
| 开课时间: | 2016-08-03 |
| 课程语种: | 英语 |
| 中文简介: |  深度学习的历史可以追溯到五十多年前，但在思想市场中，其感知价值经历了繁荣和萧条。毫无疑问，我们处于历史最高水平：在过去几年中，我们见证了视觉、语音识别、游戏、翻译等方面的非凡进步，所有这些都由深度网络提供支持。与此同时，亚马逊、苹果、Facebook、谷歌和微软等公司在深度学习研究和基础设施上投入巨资，机器学习竞赛以深度学习方法为主，开源深度学习软件激增，大众媒体为进步欢呼，并引发意外后果的黑暗幽灵。 那么深度学习是解决一切问题的答案吗？ 根据道格拉斯·亚当斯（Douglas Adams）著名的《银河系漫游指南》，在 750 万之后经过多年的工作，“Deep Thought”计算机断然发现 42 是“生命、宇宙和一切终极问题的答案”（尽管不幸的是，没有人确切知道那个问题是什么）。 < p>与其再等 750 万年等待“深度思考”来回答我们的探索，我们还组建了一个杰出的专家小组，就深度学习及其现在和未来的影响发表意见。 |
| 课程简介: | The history of deep learning goes back more than five decades but in the marketplace of ideas its perceived value went through booms and busts. We are no doubt at an all time high: in the last couple of years we witnessed extraordinary advances in vision, speech recognition, game playing, translation, and so on, all powered by deep networks. At the same time companies such as Amazon, Apple, Facebook, Google, and Microsoft are making huge bets on deep learning research and infrastructure, ML competitions are dominated by deep learning approaches, open source deep learning software is proliferating, and the popular press both cheerleads the progress and raises the dark specter of unintended consequences. So is deep learning the answer to everything? According to Douglas Adams’s famous “Hitchhiker’s Guide to the Galaxy” after 7.5 millions years of work the “Deep Thought” computer categorically found out that 42 is the “Answer to the Ultimate Question of Life, the Universe, and Everything” (although unfortunately, no one knows exactly what that question was). Rather than wait another 7.5 million years for “Deep Thought” to answer our quest we have assembled a distinguished panel of experts to give us their opinion on deep learning and its present and future impact. |
| 关 键 词: | 深度学习; 深度网络; 机器学习 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-07-08：liyy |
| 最后编审: | 2021-07-09：liyy |
| 阅读次数: | 42 |