Tencent* Uses Machine Learning for In-Game Purchase Recommendation System on Intel® Xeon® ProcessorsTo enhance the online gaming user experience, Tencent uses an in-game purchase recommendation system employing the machine learning method to help users decide what equipment they would want to buy within their games. Tencent machine learning engine uses DGEMM6 extensively in its module to compute the coefficients for the logistic regression machine learning algorithm.
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*.
What we call deep learning is typically associated with servers, the cloud, or high-performance computing. We are witnessing a reshuffling of compute partitioning between cloud data centers and clients in favor of moving applications of deep learning models to the client.
本文（及相关教程）介绍了一个面向图像超高分辨率 (SR) 的 CNN 示例（低级视觉任务）以及如何使用英特尔® Caffe* 分发包框架和英特尔® Python* 分发包进行实施。
At the Autodesk University event in Las Vegas, November 14-16, civil and commercial/industrial designers and manufacturers who use Autodesk software came together to see The Future of Making Things.
This article describes how to install and run Unity Technologies ML-Agents* in CPU-only environments.
Release Notes of Intel® Media SDK include important information, such as system requirements, what's new, feature table and known issues since the previous release.
本文描述了如何在仅限 CPU 的环境中安装并运行 Unity Technologies ML-Agents*。本文展示了如何：在 Windows* 上训练并运行 ML-Agents，执行 TensorFlow* CMake 构建，以及从零创建一个简单的 Amazon Web Services Ubuntu* Amazon Machine Image* 环境。