What is AI Model Optimization | AI Model Optimization with Intel® Neural Compressor | Intel Software
17Series 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: https://bit.ly/3Nl6pVj
Intel® Neural Compressor GitHub: https://bit.ly/3NlBgkH
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
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What is AI Model Optimization | AI Model Optimization with Intel® Neural Compressor | Intel Software