Sunday, January 15, 2017

2016: The Year That Deep Learning Took Over the Internet - Cade Metz, Wired

Neural networks are the machine learning models that identify faces in the photos posted to your Facebook news feed. They also recognize the questions you ask your Android phone, and they help run the Google search engine. Modeled loosely on the network of neurons in the human brain, these sweeping mathematical models learn all these things by analyzing vast troves of digital data. Google trains these neural networks by feeding them massive collections of existing translations. Some of this training data is flawed, including lower quality translations from previous versions of the Google Translate app. But it also includes translations from human experts, and this buoys the quality of the training data as a whole. That ability to overcome imperfection is part of deep learning’s apparent magic: given enough data, even if some is flawed, it can train to a level well beyond those flaws. https://www.wired.com/2016/12/2016-year-deep-learning-took-internet/

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