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Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Authored by Sunny G. (Intel) Last updated on 05/08/2018 - 10:50
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Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
Authored by JON J K. (Intel) Last updated on 05/30/2018 - 07:00
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Traffic Light Detection Using the TensorFlow* Object Detection API

This case study evaluates the ability of TensorFlow* Object Detection API to solve a real-time problem such as traffic light detection on Intel® Xeon® processor-based CPU machines.
Authored by admin Last updated on 05/08/2018 - 09:30
Blog post

Accelerate Computer Vision & Deep Learning with OpenVINO™ toolkit

Authored by admin Last updated on 03/21/2019 - 14:55
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使用 TensorFlow* 对象检测 API 实施交通灯检测

本案例研究评估了 TensorFlow* 对象检测 API 处理一个实时任务的能力,即在基于英特尔® 至强® 处理器的机器上进行交通灯检测。
Authored by admin Last updated on 08/13/2018 - 23:08
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Getting started with the Intel® DevCloud

Hello all! Happily, this article refers to the Intel® DevCloud! If you don't have access, sign up for it now.

Authored by Karl Fezer (Intel) Last updated on 09/05/2019 - 14:37
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Recipe: ROME1.0/SML for the Intel® Xeon Phi™ Processor 7250

This article provides a recipe for how to obtain, compile, and run ROME1.0 SML on Intel® Xeon® processors and Intel® Xeon Phi™ processors.
Authored by Yu-Ping Z. (Intel) Last updated on 10/15/2019 - 15:30
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英特尔® OpenVINO™ 工具套件分发版助力加速基于深度学习的大规模反向运动学

使用深度学习部署工具套件 (DLDT) 部署深度学习算法,以解决角色的反向运动学 (IK) 问题。
Authored by Tai Ha (Intel) Last updated on 10/15/2019 - 21:09
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Accelerating Deep Learning Based Large-Scale Inverse Kinematics with Intel® Distribution of OpenVINO™ Toolkit

Use Deep Learning Deployment Toolkit (DLDT) to deploy deep-learning algorithms to solve character Inverse Kinematics (IK) problems.
Authored by Tai Ha (Intel) Last updated on 10/15/2019 - 21:09