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Intel® Deep Learning Boost (Intel® DL Boost) instruction set delivers significant performance increases for deep learning inference workloads.

Find out how Deep Learning Workbench, part of OpenVINO toolkit, helps you more easily run and optimize deep learning models.

Release Notes for WinML and DirectML on Windows® 10 May 2020 Update

Intel® optimization for TensorFlow* is available for Linux*, including installation methods described in this technical article. The different versions of TensorFlow optimizations are compiled to support specific instruction sets offered by your CPU.

System Stacks for Linux* OS gives healthcare developers a quick-path tuned AI framework for complex CT analysis solutions.

Release Notes for Intel® AI Analytics Toolkit.

System requirements listing for Intel® AI Analytics Toolkit.

Overview of Intel® Distribution for Python* and daal4py package.

On-demand session to walk through how the Intel® Neural Compute Stick 2 (Intel® NCS 2) with an Intel® Movidius™ Myriad™ X Vis

Overview of three Intel-optimized DL frameworks—Caffe*, Horovod* (for TensorFlow*), and nGraph—that boost communication perfo

Convolutional neural networks (CNNs) are powerful techniques for AI application development, offering the advantage of accura

This guided tutorial Introduces a key machine learning framework for optimizing AI inference workloads: the Intel® Optimizati