Agenda
Pre-requisites:
- Registration for Intel DevCloud access (required for hands-on sessions)
- Basic knowledge of Linux/Windows command line tools
- Basic knowledge of Deep Learning and experience writing scripts in any of the deep learning frameworks such as Tensorflow, PyTorch, Caffe etc.
- Deep learning model Training and Inference
- Has experience writing PyTorch scripts for training or inference
Target Audiences:
Data scientists, AI Researchers, Machine and Deep Learning developers, AI application developers
Speakers
Lakshmi Narasimhan (LN)
LN leads the consulting team for Developer Products Support & consulting division within Intel Software group. In this role he is responsible for working with the developer ecosystem to help them get the best performance from Intel hardware across IoT, Client, AI and HPC segments. He has been working with Intel for the last 16+ years and has led several organizations across Client, IoT and Software. He has a Bachelor’s degree in Computer Science and has completed his Senior Executive Leadership Program from INSEAD. He loves to read, write and teach in his spare time.
Aditya Sirvaiya
Aditya is an AI/OpenVINO Technical Consulting Engineer. He holds a bachelor's degree in Engineering Physics from IIT Delhi and Master's degree in Computer Science with AI specialization from IIT Bombay. Apart from work, he loves to watch and play Football and Cricket.
Jing Xu
Jing Xu, technical consulting engineer in Intel software tools and high performance libraries on Intel architectures. He joined Intel about 5 years and has good experience in enabling global developers, enterprise users, engineers & researchers to use Intel embedded tools, high Performance Libraries MKL/oneDNN, deep learning framework, etc. His research interests include machine learning, deep learning, Performance Optimization & Data Analysis R&D.
