▶ Click here to register
08.00 - 09.00: Registration & Light Breakfast
09.00 - 09.30: Opening Remarks & Getting started with AI on Intel Platforms
Deep-dive into Intel’s software developer tools portfolio for Deep Learning and Machine Learning.
09.30 - 10.00: The Foundation: Performance Libraries for Machine Learning
Overview of the Foundation for Machine Learning performance on Intel Microprocessors – Intel® MKL, Intel® DAAL, Intel® MKL-DNN & Intel® MLSL.
10.00 - 11.00: Hands-On Machine Learning with the Intel® Distribution for Python
Michael Steyer, Vishnu Madhu
Get started with the implicit use of Intel’s optimized Machine Learning libraries underneath NumPy & scikit-learn using the Intel® Distribution for Python.
11.00 - 11.30: Intel Optimized Frameworks for Deep Learning - An Overview
Atanas Atanasov, Sarosh Quraishi, Shailen Sobhee
11.30 - 12.00: Coffee Break & Snacks
12.00 - 14.00: Techniques on improving the performance of Tensorflow - Hands-on
Jason Knight, Séverine Habert, Michael Steyer, Vishnu Madhu, Sarosh Quraishi, Shailen Shobee, Atanas Atanasov
In this hands-on session, we explore how we improve the performance of Tensorflow with Intel-optimized performance libraries and how we scale Tensorflow on distributed systems.
14.00 - 15.00: Hands-on: Inference with the Intel® Distribution of OpenVINO™ toolkit
Séverine Habert, Vishnu Madhu
Walking through the OpenVINO™ pipeline from trained models (Caffe and Tensorflow) to Inference on Intel® hardware.
15.00 - 16.00: Get-together for Networking