Página de destino responsiva

Intel® Nervana™ AI Academy

Intel® Nervana™ AI Academy provides training in machine learning and deep learning, with associated frameworks, tools, and libraries. Join our events at a meetup or online.
Criado por administrar Última atualização em 22/05/2017 - 14:59

Distributed, Docker*-ized Deep Learning with Intel® Nervana™ technology, neon™, and Pachyderm*

The recent advances in machine learning and artificial intelligence are amazing! It seems like we see something groundbreaking every day, from self-driving cars, to AIs learning complex games.

Criado por Daniel W. Última atualização em 22/05/2017 - 15:01
Forum topic

intel xdk reuined again with this new update

why do you have to ruin something with every update,this problem was fixed in the last update now it's back again,every time i try to add a button or a picture the intel xdk crash to desktop

Criado por lucas b. Última atualização em 22/05/2017 - 14:58
Forum topic

How can I show the ads?


I am beginner in game development. I have made 2d platform game for (android) mobile with construct2.

Criado por Radha W. Última atualização em 22/05/2017 - 14:58

Getting Started with Intel® Software Optimization for Theano* and Intel® Distribution for Python*

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®...
Criado por Sunny G. (Intel) Última atualização em 22/05/2017 - 14:57

What is Theano*?

Learn how to starting using the Theano* Deep Learning framework. Theano* is a Python* Library that defines, optimizes, and evaluates mathematical expressions like NumPy and SciPy.

Criado por Meghana R. (Intel) Última atualização em 22/05/2017 - 15:03

Superior Performance Commits Kyoto University to CPUs Over GPUs

The Kyoto University team recognized that the performance of the open source Theano C++ multi-core code could be significantly improved. They worked with Intel to improve Theano multicore performance using a dual-socket Intel® Xeon®processor based system as the next generation Intel® Xeon Phi™ processors were not available at that time
Criado por administrar Última atualização em 22/05/2017 - 15:04
Para obter informações mais completas sobre otimizações do compilador, consulte nosso aviso de otimização.