Optimized Machine Learning/Deep Learning with oneDNN | Intel Software

Опубликовано 29 мая 2024, 22:36

Learn how the Intel® oneAPI Deep Neural Network (oneDNN) library helps develop high-performance, optimized deep learning applications on CPUs and GPUs. The video talks about real-world use cases, performance benefits and component APIs of the library. It also highlights the AI and machine learning components, libraries, and frameworks oneDNN optimizes to help developers perform accelerated deep learning.

This video will give you an overview of the Intel® oneAPI Deep Neural Network (oneDNN) library for accelerated, cross-platform, and optimized deep learning on CPUs and GPUs. It talks about real-life applications of oneDNN and how the library forms the foundation of a deep learning application by providing optimized building blocks of a deep neural network. It also highlights the open, upstreamed AI/ML libraries and frameworks that oneDNN optimizes for accelerated deep learning. The video illustrates the performance benefits of implementing TensorFlow* optimized by the library for various machine learning models.

You will also learn about the oneDNN API: How it helps deep learning practitioners and framework developers utilize the library’s abstract programming model, implement graph-based deep neural networks, and interoperate with SYCL*, OpenCL* and Threadpool frameworks.

oneDNN Product Page: intel.ly/3VjxHzn

oneDNN Documentation: intel.ly/455hhhC

oneDNN code samples on GitHub: bit.ly/4bZAsvc

Intel® Tiber™ Developer Cloud: intel.ly/44wzgx7

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Optimized Machine Learning/Deep Learning with oneDNN | Intel Software