图 书 馆
重新思考计算：机器智能的基础Rethinking Computation: Substrates for Machine Intelligence |
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| 课程网址: | http://videolectures.net/aaai2016_rao_machine_intelligence/ |
| 主讲教师: | Naveen Rao |
| 开课单位: | 英特尔公司 |
| 开课时间: | 2017-08-23 |
| 课程语种: | 英语 |
| 中文简介: |  深度学习在过去 3 年中产生了重大影响。深度学习已经使与机器的不完美交互（例如语音、自然语言或图像处理）变得稳健，并且深度学习有望在大型数据集中找到使用结构。然而，由于现有计算架构的限制，训练过程很长，并且已被证明难以扩展。除了算法之外，深度学习是一种全新的计算表达方式。在本次演讲中，我将概述其中的一些挑战，以及计算和通信组织的根本变化如何导致能力的巨大进步。 |
| 课程简介: | Deep learning has had a major impact in the last 3 years. Imperfect interactions with machines, such as speech, natural language, or image processing have been made robust by deep learning and deep learning holds promise in finding usage structure in large datasets. However, the training process is lengthy and has proven to be difficult to scale due to constraints of existing compute architectures. Beyond the algorithms, deep learning is a fundamentally new way to express computation. In this talk, I will outline some of these challenges and how fundamental changes to the organization of computation and communication can lead to large advances in capabilities. |
| 关 键 词: | 深度学习; 计算架构; 机器交互 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-06-16：zyk |
| 最后编审: | 2021-06-16：zyk |
| 阅读次数: | 36 |