What is AI Model Optimization | AI Model Optimization with Intel® Neural Compressor | Intel Software
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Intel Software258 тыс
Опубликовано 14 июня 2023, 20:27
Series overview for AI Model Optimization with Intel Neural Compressor. Briefly learn about each category of techniques to optimize AI models for efficient deployment.
Intel® Neural Compressor uses a framework-independent API to implement various AI model optimization techniques, including quantization, pruning, knowledge distillation, and neural architecture search (NAS). So once you learn how to use these techniques, you can apply them in PyTorch*, TensorFlow*, or ONNX* Runtime.
In this video series overview, learn the basics about each technique, the tradeoffs, and some guidelines for choosing a technique for your application.
Intel® Neural Compressor: bit.ly/3Nl6pVj
Intel® Neural Compressor GitHub: bit.ly/3NlBgkH
Intel® Developer Cloud: cloud.intel.com
About the AI Model Optimization with Intel® Neural Compressor Series:
Learn how to choose and get started with AI model optimization techniques. Get started with examples using Intel® Neural Compressor, which works within PyTorch*, TensorFlow*, and ONNX* Runtime
About Intel Software:
Intel® Developer Zone is committed to empowering and assisting software developers in creating applications for Intel hardware and software products. The Intel Software YouTube channel is an excellent resource for those seeking to enhance their knowledge. Our channel provides the latest news, helpful tips, and engaging product demos from Intel and our numerous industry partners. Our videos cover various topics; you can explore them further by following the links.
Connect with Intel Software:
INTEL SOFTWARE WEBSITE: intel.ly/2KeP1hD
INTEL SOFTWARE on FACEBOOK: bit.ly/2z8MPFF
INTEL SOFTWARE on TWITTER: bit.ly/2zahGSn
INTEL SOFTWARE GITHUB: bit.ly/2zaih6z
INTEL DEVELOPER ZONE LINKEDIN: bit.ly/2z979qs
INTEL DEVELOPER ZONE INSTAGRAM: bit.ly/2z9Xsby
INTEL GAME DEV TWITCH: bit.ly/2BkNshu
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#intelsoftware #oneapi #ai
What is AI Model Optimization | AI Model Optimization with Intel® Neural Compressor | Intel Software
Intel® Neural Compressor uses a framework-independent API to implement various AI model optimization techniques, including quantization, pruning, knowledge distillation, and neural architecture search (NAS). So once you learn how to use these techniques, you can apply them in PyTorch*, TensorFlow*, or ONNX* Runtime.
In this video series overview, learn the basics about each technique, the tradeoffs, and some guidelines for choosing a technique for your application.
Intel® Neural Compressor: bit.ly/3Nl6pVj
Intel® Neural Compressor GitHub: bit.ly/3NlBgkH
Intel® Developer Cloud: cloud.intel.com
About the AI Model Optimization with Intel® Neural Compressor Series:
Learn how to choose and get started with AI model optimization techniques. Get started with examples using Intel® Neural Compressor, which works within PyTorch*, TensorFlow*, and ONNX* Runtime
About Intel Software:
Intel® Developer Zone is committed to empowering and assisting software developers in creating applications for Intel hardware and software products. The Intel Software YouTube channel is an excellent resource for those seeking to enhance their knowledge. Our channel provides the latest news, helpful tips, and engaging product demos from Intel and our numerous industry partners. Our videos cover various topics; you can explore them further by following the links.
Connect with Intel Software:
INTEL SOFTWARE WEBSITE: intel.ly/2KeP1hD
INTEL SOFTWARE on FACEBOOK: bit.ly/2z8MPFF
INTEL SOFTWARE on TWITTER: bit.ly/2zahGSn
INTEL SOFTWARE GITHUB: bit.ly/2zaih6z
INTEL DEVELOPER ZONE LINKEDIN: bit.ly/2z979qs
INTEL DEVELOPER ZONE INSTAGRAM: bit.ly/2z9Xsby
INTEL GAME DEV TWITCH: bit.ly/2BkNshu
Powered by oneAPI
#intelsoftware #oneapi #ai
What is AI Model Optimization | AI Model Optimization with Intel® Neural Compressor | Intel Software
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