Tuesday, 19 September 2017
Software engineer Quoc Le grew up in rural Vietnam, in a small village that had no electricity till he was nine. But that didn’t stop him eventually becoming a PhD candidate at Stanford in 2007, working out a strategy that would let software learn things by itself. Academics had begun to report promising but very slow results with a method known as deep learning, which uses networks of simulated neurons. Le found a way to speed that method up significantly—by building simulated neural networks 100 times larger that could process thousands of times more data. It was an approach practical…
This story continues at The Next Web
