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Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Authored by Andres Rodriguez (Intel) Last updated on 03/11/2019 - 13:17
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借助针对英特尔® 架构优化的 Caffe* 管理深度学习网络

如何面向英特尔® 架构优化 Caffe*,训练深度网络模型及部署网络。
Authored by Andres Rodriguez (Intel) Last updated on 03/11/2019 - 13:17
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英特尔® 深度学习 SDK 教程:英特尔® 深度学习 SDK 训练工具入门指南

训练工具是一款在 Linux* 服务器上运行的 web 应用,为构建和训练深度学习模型提供了一个易用且直观的界面。借助英特尔深度学习 SDK 训练工具,您可以轻松地准备训练数据,设计模型并通过自动化实验和高级可视化训练模型。其次,简化针对英特尔平台优化的常用深度学习框架的安装和使用。
Authored by admin Last updated on 03/11/2019 - 13:17
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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
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Introduction to Intel® Deep Learning Deployment Toolkit

Deploying deep learning networks from the training environment to embedded platforms for inference might be a complex task that introduces a number of technical challenges that must be addressed.

Authored by admin Last updated on 10/31/2019 - 12:15