Фильтры

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

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

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

Intel® Math Kernel Library for Deep Learning Networks: Part 1–Overview and Installation

Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
Автор: Bryan B. (Intel) Последнее обновление: 11.03.2019 - 13:17
Article

Intel® Math Kernel Library for Deep Neural Networks: Part 2 – Code Build and Walkthrough

Learn how to configure the Eclipse* IDE to build the C++ code sample, along with a code walkthrough based on the AlexNet deep learning topology for AI applications.
Автор: Bryan B. (Intel) Последнее обновление: 23.05.2018 - 11:00
Блоги

Intel and Facebook* Collaborate to Boost Caffe*2 Performance on Intel CPU’s

Автор: Andres Rodriguez (Intel) Последнее обновление: 01.04.2019 - 11:10
Article

Intel and Facebook* collaborate to boost PyTorch* CPU performance

Intel's software optimization and 2nd generation Intel® Xeon® Scalable Processors with Intel® DL Boost® accelerate PyTorch's CPU performance
Автор: Andres Rodriguez (Intel) Последнее обновление: 15.08.2019 - 12:50
File Wrapper

Parallel Universe Magazine - Issue 28, April 2017

Автор: админ Последнее обновление: 30.09.2019 - 16:45
File Wrapper

Parallel Universe Magazine - Issue 27, January 2017

Автор: админ Последнее обновление: 01.10.2019 - 16:55
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: 15.10.2019 - 16:50