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.
Accelerate end-to-end machine learning and data science pipelines with optimized deep learning frameworks and high-performing Python* libraries.
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Master model quantization combined with Vector Neural Network Instructions (VNNI) for AI inference applications.
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Using optimized scikit-learn*, see how you can modify Jupyter* Notebooks from Kaggle challenges to demonstrate the performance gains possible for real-world workloads.
With the increasing number of data scientists using TensorFlow, find out which workstation processor to choose from Intel’s lineup.
The latest MLPerf submissions demonstrate industry-leading CPU performance for diverse workloads, data types, frameworks, and usage models, across both Intel® Xeon® and Intel® Core™ processors.
Learn how to improve the performance of deep learning solutions while reducing the footprint of the final application to make it easier to redistribute.