Deep learning for computer vision: Perspectives from algorithm, market, and processor experts

Convolutional neural networks (CNNs) and other deep learning techniques are rapidly becoming key enabling technologies for applications requiring object recognition and other computer vision capabilities. I first discussed the topic of deep learning in a March column; a follow-up article showcased the Embedded Vision Summit keynote “Large-Scale Deep Learning for Building Intelligent Computer Systems” from Google Senior Fellow Jeff Dean. I’d like to devote this week’s column to additional deep learning insights you can acquire from three other Embedded Vision Summit talks. [Native Advertisement] The first presentation, “How Deep Learning Is Enabling Computer Vision Markets,” was delivered by Bruce Daley, Principal Analyst at market research firm Tractica. According to Daley, deep learning algorithms are a key tool for automating and accelerating the analysis of large data sets generated by a…


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