Building Brains to Understand the World's Data
推荐理由
he gets into his ideas about the structure of the brain, and what he's done to reconstruct it in software/hardware.
说明
这是2013年由Google TechTalks发布的一部演讲,主题归在Neuroscience & the brain。它讲的是neocortex-inspired machine intelligence这一支里的具体问题,而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成:Jeff Hawkins presents his view that the neocortex works on principles different from traditional computers. He describes sparse distributed representations and how they are learned, then shows how Numenta applies them to predict from high-velocity data streams.这些读者给出的理由,核心是:Recommended as Hawkins' own accessible statement of his brain-inspired theory of intelligence and its software implementation.它贴着当时的技术,看的时候要记得那是那个年份的判断。从2013年到2017年,有1位不同的读者在1个不同月份把它推荐出来,其中明确叫别人去看的有0次。适合一次性看完。讲者把一个判断讲透,演示是在给这个判断配例子。如果已经会了基本定义,就把注意力放在它怎么把neocortex-inspired machine intelligence变成能跟着复述的例子。
视频信息
- 频道
- Google TechTalks
- 时长
- 1 小时 2 分
- 发布年份
- 2013
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