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| Management number | 220491651 | Release Date | 2026/05/03 | List Price | $9.95 | Model Number | 220491651 | ||
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Unlock True AI Model Portability with ONNX—No Experience Required!Are you ready to future-proof your machine learning skills? Hands-On ONNX: Your Essential Guide to AI Model Portability is your friendly, step-by-step introduction to the world of cross-platform AI deployment.Whether you’re just starting out with artificial intelligence or looking for a practical way to move your models between PyTorch, TensorFlow, and more, this book is for you. Discover how to overcome framework lock-in, accelerate your deployment workflows, and optimize your models for real-world applications—all with ONNX.Inside, you’ll learn how to:Export and convert models from popular frameworks like PyTorch and TensorFlow into ONNX formatDeploy AI models across cloud, edge, and mobile environments using ONNX RuntimeOptimize and quantize models for fast, efficient inference—no matter the platformTroubleshoot common conversion pitfalls and ensure consistent performanceIntegrate ONNX into your existing pipelines and CI/CD workflowsExplore real-world case studies and hands-on projects, from research to productionWho is this book for?Students and developers seeking a beginner-friendly AI guideMachine learning engineers wanting to deploy deep learning models across different platformsAnyone who wants to learn the fundamentals of ONNX, model optimization, and portable AIFilled with clear explanations, practical code examples, and supportive tips, Hands-On ONNX turns advanced AI concepts into manageable, actionable steps. Every chapter is designed to build your skills and your confidence—helping you celebrate progress at every stage.Join the growing ONNX community and take your AI projects to the next level. Your journey to cross-platform machine learning starts here! Read more
| ISBN13 | 979-8296000415 |
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| Language | English |
| Publisher | Independently published |
| Dimensions | 7 x 0.39 x 10 inches |
| Item Weight | 14.1 ounces |
| Print length | 172 pages |
| Publication date | July 31, 2025 |
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