ONNX for Beginners: A Step-by-Step Guide to Model Interoperability and Deployment
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ONNX for Beginners: A Step-by-Step Guide to Model Interoperability and Deployment

by Haider Koele

technical guide Machine Learning Data Science AI Programming
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ONNX for Beginners provides a clear, step-by-step introduction to using ONNX for model interoperability and deployment. Perfect for newcomers, it demystifies the process of representing and sharing machine learning models across diverse platforms and tools, building foundational skills in AI deployment.

About This Book

This book introduces ONNX, an open standard for representing machine learning models, making it easier for beginners to understand model interoperability.

Through a structured step-by-step approach, readers will explore the fundamentals of deploying models using ONNX, ensuring compatibility across different frameworks and hardware.

Ideal for those new to AI and machine learning, the guide covers essential concepts without assuming prior advanced knowledge.

Discover practical techniques to integrate ONNX into your workflows, enhancing efficiency in model sharing and execution.

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I will be using this book for: