[Coming Feb 14] Using ML/DL software in your favorite CSP

Learn how to activate Intel-optimized AI dev tools in AWS, GCP, Azure, and Intel Developer Cloud.

[Time zone converter] [Available On-Demand on Thursday, February 15] Get an overview on how to fire up and take advantage of Intel-optimized ML/DL frameworks and libraries—PyTorch, TensorFlow, Scikit-learn, and XGBoost—in popular cloud service provider platforms. Key takeaways: An introduction to Intel's free, open source AI software development tools How to enable these tools in Amazon Web Services, Google Cloud Platform, Microsoft Azure, and Intel® Developer Cloud An overview of the available Intel hardware available in each of these CSPs Skill level: Intermediate Register now Featured software Get the following tools standalone or via a pre-bundled AI Tools package: PyTorch Optimizations from Intel TensorFlow Optimizations from Intel Intel® Extension for Scikit-learn Intel® Optimization for XGBoost Get an Intel® Developer Cloud account Some of the session demos will be done on Intel's cloud-based development environment. If you don't have an account, we encourage you to get one (there's a free tier) here. Download code samples Get Started: Intel Extension for PyTorch Get Started: Intel Extension for TensorFlow Intro to Machine Learning using Intel® Extension for Scikit-learn Get Started: Intel-Optimized XGBoost See all code samples View in browser.

                                                           

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