[转] Computer science: The learning machines - webdancer's Blog
[转] Computer science: The learning machines
webdancer
posted @ 2014年1月09日 04:31
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Machine learning
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文章链接：http://www.nature.com/news/computer-science-the-learning-machines-1.14481
Using massive amounts of data to recognize photos and speech, deep-learning computers are taking a big step towards true artificial intelligence.
Three years ago, researchers at the secretive Google X lab in Mountain View, California, extracted some 10 million still images from YouTube videos and fed them into Google Brain — a network of 1,000 computers programmed to soak up the world much as a human toddler does. After three days looking for recurring patterns, Google Brain decided, all on its own, that there were certain repeating categories it could identify: human faces, human bodies and … cats1.
介绍了 Deep learning的最新 的一些 进展，简单的总结一下：
- Google Brain Project（10^6神经元，10^9连接）代表的Deep learning技术让神经网络复兴；
- Neural Networks（神经网络）模仿人脑的神经元连接，通过经验来更改连接的强度，模拟人类的学习；
- 神经网络可以用来识别图像，处理自然语言，语音识别，翻译语言等；
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AI的历史：
- 50s：手工提取特征，费事耗力；
- 80-90s：浅层网络“Neural nets were always a delicate art to manage. There is some black magic involved,”
- 2000s：计算能力的增强和数据的爆炸式增长；“For about US$100,000 in hardware, we can build an 11-billion-connection network, with 64 GPUs,”
- 现在 Deep Learning在 语音识别(25%)， 图像 识别(ImageNet, 15%)，下一步在NLP
2018年10月22日 01:17
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2022年8月06日 23:49
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2023年6月30日 18:45
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