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.
Get recipes for installing development tools and libraries on various platforms for the Python library.
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®...
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。
General Artificial Intelligence (AI) and Machine Learning
Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable ProcessorsAccelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
How to get started with the Intel® Neural Compute Stick 2 (Intel® NCS2) on Linux.
Getting started steps for the Intel® Neural Compute Stick 2 and the Intel® Distribution of the OpenVINO™ toolkit.
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Intel® optimization for TensorFlow* is available for Linux*, including installation methods described in this technical article. The different versions of TensorFlow optimizations are compiled to support specific instruction sets offered by your CPU.