Article

Using Intel® MKL in your Python* program

Some instructions and a simple example showing how to call Intel® MKL from Python*,
Автор: TODD R. (Intel) Последнее обновление: 10.12.2018 - 13:29
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.
Автор: Sunny G. (Intel) Последнее обновление: 08.05.2018 - 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®...
Автор: Sunny G. (Intel) Последнее обновление: 08.05.2018 - 10:50
Article

Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
Автор: JON J K. (Intel) Последнее обновление: 30.05.2018 - 07:00
Article

Profiling TensorFlow* workloads with Intel® VTune™ Amplifier

This tutorial will show how to combine the data provided by TensorFlow*.timeline with options available in one of the most powerful performance profilers for Intel® Architecture – Intel® VTune™ Amplifier.
Автор: Alexandr Kurylev (Intel) Последнее обновление: 21.03.2019 - 09:54
Article

Explore Unity Technologies ML-Agents* Exclusively on Intel® Architecture

This article describes how to install and run Unity Technologies ML-Agents* in CPU-only environments.
Автор: Bryan B. (Intel) Последнее обновление: 05.07.2019 - 18:54
Article

Large Matrix Operations with SciPy* and NumPy*: Tips and Best Practices

Introduction
Автор: Последнее обновление: 06.07.2019 - 22:04
Article

Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable Processors

Accelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
Автор: Nathan Greeneltch (Intel) Последнее обновление: 15.08.2019 - 12:50