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.
How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Get recipes for installing development tools and libraries on various platforms for the Python library.
The promise of artificial intelligence has captured our cultural imagination since at least the 1950s—inspiring computer scientists to create new and increasingly complex technologies, while also building excitement about the future among regular everyday consumers.
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®...
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。
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。
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。
Learn how machine learning/deep learning applications benefit from code modernization.
Speed up your machine learning application code and turn data into insight and actionable results.