The Intel® AI Developer Program connects you to our academy courses, tools, and a community of professional developers to help you create world-class AI projects from the data center to the edge.
Learn about model quantization combined with Vector Neural Network Instructions (VNNI) for AI inference applications.
Our learning hub offers a wealth of training and resources to developers, data scientists, students, and professors. Take self-paced courses, attend live workshops, and watch webinars on topics from general AI to deep learning and inference.
Set up and run simplified bridge code that can be used to link TensorFlow*-based projects to preoptimized nGraph back ends for significantly better performance.
Learn to use precision changes in BigDL and how it uses Intel® Math Kernel Library for Deep Neural Networks to accelerate performance.
Find out how to accelerate MXNet* with Intel® Math Kernel Library for Deep Neural Networks by installing a CPU-optimized version and test it with basic examples.