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portada PyTorch Tensor Engineering for Developers and Data Scientists
Type
Physical Book
Publisher
Author
Language
English
Pages
428
Format
Paperback
ISBN13
9798177964386

PyTorch Tensor Engineering for Developers and Data Scientists

Marcus Johnson Goldstein (Author) · Independently Published · Paperback

PyTorch Tensor Engineering for Developers and Data Scientists - Marcus Johnson Goldstein

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Delivery: 19 Nov - 26 Nov Shipping: 15 to 19 business days.
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Synopsis "PyTorch Tensor Engineering for Developers and Data Scientists"

PyTorch Tensor Engineering for Developers and Data ScientistsHands-On Projects for Computer Vision, Transformers, and Generative AI SimplifiedBy Marcus Johnson Goldstein PhD.Are you ready to move beyond simply knowing what a PyTorch tensor is and start understanding how to engineer with tensors confidently?What happens when tensor shapes do not match? How do you efficiently prepare data for a neural network? How can you turn tensors into powerful computer-vision models, transformer systems, and generative AI applications? And how do you move from experimenting with PyTorch to building projects that actually work?PyTorch Tensor Engineering for Developers and Data Scientists takes you on a practical journey from fundamental tensor operations to modern deep-learning applications. Through hands-on projects and clear explanations, you'll explore how tensors connect data preparation, neural-network training, computer vision, transformers, and generative AI.Wondering how these technologies fit together? Want to understand not only what to code, but why each step matters?This book helps turn PyTorch concepts into practical engineering skills-one project at a time.Whether you're a developer, data scientist, student, or aspiring AI practitioner, you'll gain a clearer understanding of how to work with tensors and use them as the foundation for real deep-learning workflows.Ready to strengthen your PyTorch skills and build with modern AI?Start your journey with PyTorch Tensor Engineering today-and turn tensors into working solutions.If this book helps you learn, build, or understand PyTorch more confidently, please come back and leave a review. Your feedback can help other developers and data scientists discover the book too.

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