The Next Wave of Deep Learning Applications

September 14, 2016 Nicole Hemsoth Last week we described the next stage of deep learning hardware developments in some detail, focusing on a few specific architectures that capture what the rapidly-evolving field of machine learning algorithms require. This week we are focusing in on a trend that is moving faster than the devices can keep up with; the codes and application areas that are set to make this market spin in 2017. It was with reserved skepticism that we listened, not even one year ago, to dramatic predictions about the future growth of the deep learning market—numbers that climbed into the billions despite the fact that most applications in the area were powering image tagging or recognition, translation, and other more consumer-oriented services. This was not to say that the…


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