PickVidsBay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning
推荐理由
he explains very simply how all this works for images and some examples about the audio case.
强烈推荐brutuscat · 原文
说明
这是2011年由Google TechTalks发布的一部演讲，主题归在Machine learning & deep learning。它讲的是unsupervised feature learning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：Andrew Ng presents unsupervised feature learning and deep learning, showing how algorithms can learn representations from unlabeled data instead of hand-designed features. He gives examples in vision and audio, including visualizations of features learned by successive layers.这些读者给出的理由，核心是：HN commenters recommended it for years as a simple, exciting overview of the deep learning wave.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2011年到2013年，有9位不同的读者在7个不同月份把它推荐出来，其中明确叫别人去看的有6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unsupervised feature learning变成能跟着复述的例子。
视频信息
- 频道
- Google TechTalks
- 时长
- 48 分 10 秒
- 发布年份
- 2011
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