Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2025
Serie: Libro 1 di 4 - Mastering Deep Learning & Machine learning
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2025
Serie: Libro 1 di 4 - Mastering Deep Learning & Machine learning
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: Libro 3 di 4 - Mastering Deep Learning & Machine learning
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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EUR 46,80
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: Libro 3 di 4 - Mastering Deep Learning & Machine learning
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,64
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: Libro 3 di 4 - Mastering Deep Learning & Machine learning
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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 42,65
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Paperback. Condizione: new. Paperback. Have you ever wondered what it truly takes to go from a Python enthusiast to a deep learning practitioner capable of building neural networks, transformers, and generative models? Are you tired of jumping between tutorials and struggling to piece together complex concepts? What if there was… a single, step-by-step guide that could take you by the hand and guide you through the full spectrum of modern deep learning with PyTorch?Progressive Deep Learning with PyTorch by Ellis Jasper Harry is designed for curious minds like yours. Have you been asking yourself how neural networks actually learn from data? Or how transformers can understand language and images with such precision? What about generative models-how can a machine create entirely new images, text, or music? This book answers all of these questions in a way that is both practical and intuitive.Do you want more than just theory? Are you ready to roll up your sleeves and implement models from scratch, then scale them up using PyTorch? Each chapter is structured to take you progressively deeper, building your confidence as you implement each model. From the foundations of tensors and autograd to constructing your own transformers and training GANs, this book ensures you understand the "why" behind every step, not just the "how."Ever felt overwhelmed by all the frameworks and tools in deep learning? What if you could master PyTorch and learn best practices that professionals use, while also understanding the cutting-edge trends like large-scale transformers and generative models? This book is your companion, guiding you through real-world code examples, optimization strategies, and insights that are often left out of standard tutorials.So, are you ready to take your deep learning journey seriously? Are you prepared to turn curiosity into capability, and capability into mastery? Whether you're a Python developer new to deep learning or an experienced practitioner looking to deepen your understanding, this book gives you the tools, guidance, and confidence to succeed.Start building smarter models today, explore the possibilities of deep learning, and push the boundaries of what machines can create. Dive in, experiment, and make this journey your own. And if you find the book helpful, come back and leave a review-your feedback could help guide the next deep learning practitioner just like you. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Independently published, 2025
Serie: Libro 3 di 4 - Mastering Deep Learning & Machine learning
- Brossura
- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 42,66
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: Libro 1 di 4 - Mastering Deep Learning & Machine learning
- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 44,15
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Paperback. Condizione: new. Paperback. Have you ever wondered what truly goes into building intelligent systems that work reliably in the real world? Do you find yourself reading deep learning tutorials that explain theory but leave you unsure of how to apply it at scale? Or maybe you've asked, how do modern AI engineers manage…complex models, deploy them safely, and ensure they actually solve real problems?The Complete Guide to Deep Machine Learning: Engineering Robust, Scalable, and Responsible AI Systems by Ellis Jasper Harry invites you into the practical side of AI. Do you want more than surface-level concepts-do you want to understand how to build systems that operate responsibly, reliably, and at scale?Have you struggled to create reproducible ML pipelines, handle massive datasets, or optimize large models for production? Do you wonder how transformers, multimodal models, and large language models are trained, fine-tuned, and evaluated? Or perhaps you've questioned: how can I ensure my AI systems remain fair, robust, and safe even when data shifts or unexpected situations appear?This book takes you on a clear, structured journey from foundational principles to advanced engineering techniques. You'll explore everything from core neural architectures to reinforcement learning, generative AI, retrieval-augmented generation, interpretability, monitoring, and production MLOps. You'll learn what it takes to train, optimize, deploy, and maintain AI systems with confidence, while keeping reliability and responsibility at the forefront.Are you finally ready to bridge the gap between theory and real-world implementation? Do you want the same workflows, patterns, and engineering strategies used by leading AI professionals today? Whether you're a beginner, an intermediate learner, or an industry engineer, this book equips you with the skills to design and operate AI systems that are scalable, robust, and ethically grounded.Why wait? Start building smarter systems today. And if this guide supports your journey, consider leaving a review to help others take the same step from understanding to mastery. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: Libro 1 di 4 - Mastering Deep Learning & Machine learning
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 42,70
EUR 43,23 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Have you ever wondered what truly goes into building intelligent systems that work reliably in the real world? Do you find yourself reading deep learning tutorials that explain theory but leave you unsure of how to apply it at scale? Or maybe you've asked, how do modern AI engineers manage…complex models, deploy them safely, and ensure they actually solve real problems?The Complete Guide to Deep Machine Learning: Engineering Robust, Scalable, and Responsible AI Systems by Ellis Jasper Harry invites you into the practical side of AI. Do you want more than surface-level concepts-do you want to understand how to build systems that operate responsibly, reliably, and at scale?Have you struggled to create reproducible ML pipelines, handle massive datasets, or optimize large models for production? Do you wonder how transformers, multimodal models, and large language models are trained, fine-tuned, and evaluated? Or perhaps you've questioned: how can I ensure my AI systems remain fair, robust, and safe even when data shifts or unexpected situations appear?This book takes you on a clear, structured journey from foundational principles to advanced engineering techniques. You'll explore everything from core neural architectures to reinforcement learning, generative AI, retrieval-augmented generation, interpretability, monitoring, and production MLOps. You'll learn what it takes to train, optimize, deploy, and maintain AI systems with confidence, while keeping reliability and responsibility at the forefront.Are you finally ready to bridge the gap between theory and real-world implementation? Do you want the same workflows, patterns, and engineering strategies used by leading AI professionals today? Whether you're a beginner, an intermediate learner, or an industry engineer, this book equips you with the skills to design and operate AI systems that are scalable, robust, and ethically grounded.Why wait? Start building smarter systems today. And if this guide supports your journey, consider leaving a review to help others take the same step from understanding to mastery. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: Libro 3 di 4 - Mastering Deep Learning & Machine learning
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 45,11
EUR 43,23 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Have you ever wondered what it truly takes to go from a Python enthusiast to a deep learning practitioner capable of building neural networks, transformers, and generative models? Are you tired of jumping between tutorials and struggling to piece together complex concepts? What if there was… a single, step-by-step guide that could take you by the hand and guide you through the full spectrum of modern deep learning with PyTorch?Progressive Deep Learning with PyTorch by Ellis Jasper Harry is designed for curious minds like yours. Have you been asking yourself how neural networks actually learn from data? Or how transformers can understand language and images with such precision? What about generative models-how can a machine create entirely new images, text, or music? This book answers all of these questions in a way that is both practical and intuitive.Do you want more than just theory? Are you ready to roll up your sleeves and implement models from scratch, then scale them up using PyTorch? Each chapter is structured to take you progressively deeper, building your confidence as you implement each model. From the foundations of tensors and autograd to constructing your own transformers and training GANs, this book ensures you understand the "why" behind every step, not just the "how."Ever felt overwhelmed by all the frameworks and tools in deep learning? What if you could master PyTorch and learn best practices that professionals use, while also understanding the cutting-edge trends like large-scale transformers and generative models? This book is your companion, guiding you through real-world code examples, optimization strategies, and insights that are often left out of standard tutorials.So, are you ready to take your deep learning journey seriously? Are you prepared to turn curiosity into capability, and capability into mastery? Whether you're a Python developer new to deep learning or an experienced practitioner looking to deepen your understanding, this book gives you the tools, guidance, and confidence to succeed.Start building smarter models today, explore the possibilities of deep learning, and push the boundaries of what machines can create. Dive in, experiment, and make this journey your own. And if you find the book helpful, come back and leave a review-your feedback could help guide the next deep learning practitioner just like you. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
