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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.
Authored by admin Last updated on 05/22/2017 - 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.

Authored by Daniel W. Last updated on 05/22/2017 - 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

Authored by lucas b. Last updated on 05/22/2017 - 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.

Authored by Radha W. Last updated on 05/22/2017 - 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®...
Authored by Sunny G. (Intel) Last updated on 05/22/2017 - 14:57

Introduction to Deep Learning with neon™

This video introduces the basic deep learning concepts necessary to both understand the neon™ codebase and build your own deep learning models.

Authored by Wei D. (Intel) Last updated on 05/22/2017 - 14:56

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.

Authored by Meghana R. (Intel) Last updated on 05/22/2017 - 15:03
For more complete information about compiler optimizations, see our Optimization Notice.