Article

Getting Started with Node-RED* and Bluemix*

Overview
Authored by Peter N. (Intel) Last updated on 07/10/2018 - 08:00
Article

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
Article

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
Article

安装英特尔® Theano*软件优化包和支持工具

Theano* is a Python* library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays. Theano can be installed and used with several combinations of development tools and libraries on a variety of platforms. This tutorial provides one such recipe describing steps to build and install Intel-optimized Theano with Intel®...
Authored by Sunny G. (Intel) Last updated on 05/08/2018 - 10:50
Article

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
Video

Accelerate Machine Learning with Intel® Software Development Tools

Speed up your machine learning application code and turn data into insight and actionable results.

Authored by admin Last updated on 11/09/2018 - 07:12
Article

How to Install the Python* Version of Intel® Data Analytics Acceleration Library (Intel® DAAL) in Linux*

The Intel® Data Analytics Acceleration Library (Intel® DAAL) 1, 2 is a software solution for data analytics. It provides building blocks for data preprocessing, transformation, modeling, predicting, and so on.
Authored by Nguyen, Khang T (Intel) Last updated on 07/05/2019 - 19:05
Article

如何在 Linux* 中安装英特尔® 数据分析加速库(英特尔® DAAL)的 Python* 版本

英特尔® 数据分析加速库(英特尔® DAAL) 1, 2 是一款用于数据分析的软件解决方案。它提供用于数据预处理、转换、建模和预测等任务的构建模块。
Authored by Nguyen, Khang T (Intel) Last updated on 07/05/2019 - 19:06