Artículo: AMZ-B0FGB5NPCY

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

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Kindle

Paperback

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0.87 kg

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Nuevo

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Amazon

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USA

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Brief Hook: Unlock the full potential of your machine learning models with ONNX—build once, deploy anywhere. Whether you're a data scientist or engineer, this book simplifies model portability and deployment across platforms.Book Summary: ONNX for Beginners is your practical introduction to the Open Neural Network Exchange (ONNX), the powerful open-source format that bridges the gap between machine learning frameworks. This guide walks you through the fundamentals of ONNX, from understanding the model format to converting models between popular frameworks like PyTorch, TensorFlow, and scikit-learn.Through clear, hands-on examples, you’ll learn how to export, validate, and deploy ONNX models across different environments—from local inference engines to cloud platforms. Each chapter builds your skills step-by-step, helping you understand interoperability challenges and providing proven solutions to tackle them.Why Choose this Book?Step-by-step tutorials for real-world model conversions and deployments.Cross-framework guidance with examples using PyTorch, TensorFlow, and more.Deployment-ready techniques for ONNX Runtime, cloud services, and edge devices.Beginner-friendly explanations of ONNX architecture and ecosystem.Hands-on code samples you can use and adapt for your own projects.Call-to-Action: Take the guesswork out of ML model deployment—start mastering ONNX today. Grab your copy of "ONNX for Beginners" and future-proof your machine learning workflow!

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