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Embedded Vision Insights: August 1, 2017 Edition

COMPUTER VISION FOR IMAGE UNDERSTANDING Semantic Segmentation for Scene Understanding: Algorithms and Implementations Recent research in deep learning provides powerful tools that begin to address the daunting problem of automated scene understanding. Modifying deep learning methods, such as CNNs, to classify pixels in a scene with the help of the neighboring pixels has provided very […]

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Embedded Vision Insights: July 18, 2017 Edition

DEEP LEARNING FOR VISION Software Frameworks and Toolsets for Deep Learning-based Vision Processing 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

Embedded Vision Insights: July 18, 2017 Edition Read More +

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Embedded Vision Insights: July 18, 2017 Edition

DEEP LEARNING FOR VISION Software Frameworks and Toolsets for Deep Learning-based Vision Processing 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

Embedded Vision Insights: July 18, 2017 Edition Read More +

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Embedded Vision Insights: July 6, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss next Thursday's full-day,

Embedded Vision Insights: July 6, 2017 Edition Read More +

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Embedded Vision Insights: June 20, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss next month's full-day,

Embedded Vision Insights: June 20, 2017 Edition Read More +

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Embedded Vision Insights: June 8, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, If you're creating algorithms and software that enable systems to see and understand the world around them and want to quickly come up to speed on using the popular TensorFlow framework, don't miss our full-day, hands-on training class next month: Deep Learning for Computer Vision with TensorFlow. It takes

Embedded Vision Insights: June 8, 2017 Edition Read More +

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Embedded Vision Insights: May 23, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss the Embedded Vision

Embedded Vision Insights: May 23, 2017 Edition Read More +

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Embedded Vision Insights: May 11, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, This year's Embedded Vision Summit, which took place last week, was the best yet; more than 1,000 attendees, more than 90 speakers across five presentation tracks, and more than 50 exhibitors demonstrating more than 100 vision technologies and products. A downloadable slide set of the presentations from the Summit

Embedded Vision Insights: May 11, 2017 Edition Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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