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An Example of a Convolutional Neural Network for Image Super-Resolution

Convolutional Neural Networks (CNN) are becoming mainstream in computer vision. In particular, CNNs are widely used for high-level vision tasks, like image classification. This article describes an example of a CNN for image super-resolution (SR), which is a low-level vision task, and its implementation using the Intel® Distribution for Caffe* framework and Intel® Distribution for Python*.
作者: Alberto V. (Intel) 最后更新时间: 2018/01/24 - 15:35
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Explore Unity Technologies ML-Agents* Exclusively on Intel® Architecture

This article describes how to install and run Unity Technologies ML-Agents* in CPU-only environments.
作者: Bryan B. (Intel) 最后更新时间: 2019/07/05 - 18:54
File Wrapper

Parallel Universe Magazine - Issue 26, October 2016

作者: 管理 最后更新时间: 2018/12/12 - 18:08
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Accelerate Computer Vision & Deep Learning with OpenVINO™ toolkit

作者: 管理 最后更新时间: 2019/03/21 - 14:55