Stay in the know on all things CODE. Updates are delivered to your inbox.
Senior software engineer, Google*
Principal engineer, Intel
Increased processing power, massive amounts of data, and the development of more advanced algorithms have brought deep learning to the forefront, and TensorFlow* has emerged as one of the world’s most popular machine learning frameworks. Penporn Koanantakool, Google senior software engineer, and Ramesh, Intel principal engineer, share how their teams are collaborating to optimize TensorFlow for the latest Intel® technologies using Intel® oneAPI Deep Neural Network Library (oneDNN). The result: remarkable performance gains that will benefit applications spanning natural language processing, image and object recognition, autonomous vehicles, fraud detection, medical diagnosis and treatment, and much more. Intel-optimized TensorFlow is now made available through Intel® oneAPI AI Analytics Toolkit and is being used within Google Cloud Platform* and a Google Health project.
To learn more:
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.