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Embedded Vision Insights: July 18, 2017 Edition

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Software Frameworks and Toolsets for Deep Learning-based Vision ProcessingDeep Learning Software Frameworks and Toolsets
Deep learning is an increasingly popular and robust alternative to classical computer vision algorithms. This technical article from the Embedded Vision Alliance and member companies Au-Zone Technologies, BDTI, MVTec, Synopsys and Xilinx covers the leading deep learning software frameworks, the reasons for their abundance, and guidelines for selecting among the candidates for a particular application. It also covers "middleware" utilities that optimize a framework for use in an embedded implementation, comprehending factors such as data types and bit widths, as well as available heterogeneous computing resources. And for developers in specific markets and applications, application-specific toolsets that incorporate deep learning techniques can provide an attractive alternative to more general-purpose frameworks.

Accelerating Deep Learning Using FPGAsIntel
While large strides have recently been made in the development of high-performance systems for neural networks based on multi-core technology, significant challenges in power, cost and,...