Transfer learning - Wikipedia
Illustration of transfer learning Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task.[1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks. This topic is related to the psychological literature on trans
Q&A: Andrew Ng, chief scientist, Chinese search giant Baidu
Artificial intelligence whiz Andrew Ng hangs his hat these days at a nondescript building in Sunnyvale that serves as the Silicon Valley outpost of the Chinese search giant Baidu. The modest digs belie Baidu’s big Asian footprint. With more than 600 million monthly active mobile users, it’s often referred to as “the Google of China.” Like Google, Baidu has been exploring artificial intelligence fo
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