Anthill Inside 2017

On theory and concepts in Machine Learning, Deep Learning and Artificial Intelligence. Formerly Deep Learning Conf.

Mukesh Gangadhar

@mukgbv

AI on IA

Submitted Jul 18, 2017

The presentation will provide an overview of hardware and software products for Deep learning, covering an overview of Intel software tools meant for artificial intelligence, how developers can get access to these tools. The talk will also share details about Intel’s software optimization efforts to improve the performance of deep learning frameworks on Intel® architecture.

Outline

The presentation will provide an overview of hardware and software products for Deep learning that . The talk will also share details about Intel’s software optimization efforts to improve the performance of deep learning frameworks on Intel® architecture.

Requirements

The presentation assumes a basic understanding of deep learning, popular deep learning frameworks and computer science. This talk would be helpful for current and potential users of DL frameworks (either on premise or on the cloud).

Speaker bio

Mukesh Gangadhar works in Intel’s Software and Services Group, where his role as a senior performance architect, is focused on improving software applications in the areas of performance on Intel based platforms. His other interests include algorithm optimization for performance and power, cloud computing and artificial intelligence.

Comments

{{ gettext('Login to leave a comment') }}

{{ gettext('Post a comment…') }}
{{ gettext('New comment') }}
{{ formTitle }}

{{ errorMsg }}

{{ gettext('No comments posted yet') }}

Hosted by

Anthill Inside is a forum for conversations about risk mitigation and governance in Artificial Intelligence and Deep Learning. AI developers, researchers, startup founders, ethicists, and AI enthusiasts are encouraged to: more