Intel® optimization for Tensorflow with DevCloud - oneAPI Workshop
Join us for a hands-on workshop training on “Intel® Optimization for TensorFlow with DevCloud” tailored specifically for developers. In this workshop, you will dive into the powerful world of Intel® optimization techniques to accelerate your TensorFlow workflows and leverage the capabilities of Intel® DevCloud. Through practical exercises, you will gain hands-on experience in optimizing TensorFlow workloads using Intel® DevCloud, a cloud-based platform that offers access to a wide range of Intel® hardware resources.
Key Takeaways: By the end of the workshop, you will have a comprehensive understanding of Intel’s optimization strategies for TensorFlow and be equipped with the skills to accelerate your AI and machine learning projects using Intel® AI Analytics Toolkit. Join us for an interactive and practical workshop that will take your AI/ML skills to the next level!
If you are an AI Developers, ML Engineer, Data Scientist, or Researcher, this session is for you!
Speaker(s)
Mr. Anish Kumar - AI Software Solutions Engineering Manager APAC, Intel®
Anish Kumar is a seasoned AI professional, currently leading AI Solution Engineering for the APAC region at Intel. With nearly two decades of experience in the technology industry, Anish assists mission-driven organizations in maximizing their impact, through the use of data science and machine learning, utilizing Intel AI software toolkits and hardware. Anish achieves this through technical workshops, training, and close collaboration with customer engineering teams. His skills and experience make him an invaluable asset to businesses looking to harness the power of AI, driving innovation and growth in an ever-evolving technological landscape.
Mr. Vishnu Madhu - AI Software Solutions Engineer, Intel®
Vishnu Madhu is an AI Software Solutions Engineer at Intel. He is an EEE graduate with more than a decade of technology experience. The last few years of his work has involved piping together ML systems for use cases that span CV, NLP, Recommender Systems and more. In his current role, he works towards enabling Intel’s partners to efficiently utilize their Intel hardware for deploying AI/ML applications.
