Paperback. Condizione: Very Good. 3. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
EUR 57,35
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EUR 59,77
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EUR 59,95
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 71,35
Quantità: 8 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 3rd. Why wait to master deep learning when the tools are already within reach? As AI reshapes every industry, learning how to build models like GPT or generate stunning images is no longer a luxury-it is a necessity. Many developers struggle with fragmented tutorials or outdated libraries, leaving them unsure how to translate theory into practice. What if you could gain hands-on experience with the latest tools and techniques, backed by expert guidance, and build models that deliver real results from the start? First-principles walkthroughs: Understand every layer, activation, and optimizer, so troubleshooting feels natural. Keras 3 showcase: Use the newest API features for faster, cleaner model pipelines. Multiframework primer: Compare TensorFlow, PyTorch, and JAX to pick the right tool every time. Generative AI chapters: Craft text with your own GPT-style model and create images using diffusion. Production guidance: Learn scaling, tuning, and deployment tips that move notebooks into real apps. Deep Learning with Python, Third Edition, by François Chollet and Matthew Watson, delivers an authoritative, code-first roadmap from the minds behind Keras. Each chapter builds knowledge step by step, pairing intuitive explanations with color-coded listings you can run immediately. Expanded coverage tackles transformers, diffusion, and hardware-friendly workflows while retaining the approachable tone that made previous editions bestsellers. By the final page you will confidently architect, train, and fine-tune state-of-the-art models, ready to solve vision, language, and forecasting problems in your own projects. Ideal for developers with intermediate Python skills who crave practical, future-proof AI expertise.
Lingua: Inglese
Editore: Manning Publications, New York, 2025
ISBN 10: 1633436586 ISBN 13: 9781633436589
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Why wait to master deep learning when the tools are already within reach? As AI reshapes every industry, learning how to build models like GPT or generate stunning images is no longer a luxuryit is a necessity. Many developers struggle with fragmented tutorials or outdated libraries, leaving them unsure how to translate theory into practice. What if you could gain hands-on experience with the latest tools and techniques, backed by expert guidance, and build models that deliver real results from the start? First-principles walkthroughs: Understand every layer, activation, and optimizer, so troubleshooting feels natural. Keras 3 showcase: Use the newest API features for faster, cleaner model pipelines. Multiframework primer: Compare TensorFlow, PyTorch, and JAX to pick the right tool every time. Generative AI chapters: Craft text with your own GPT-style model and create images using diffusion. Production guidance: Learn scaling, tuning, and deployment tips that move notebooks into real apps. Deep Learning with Python, Third Edition, by Francois Chollet and Matthew Watson, delivers an authoritative, code-first roadmap from the minds behind Keras. Each chapter builds knowledge step by step, pairing intuitive explanations with color-coded listings you can run immediately. Expanded coverage tackles transformers, diffusion, and hardware-friendly workflows while retaining the approachable tone that made previous editions bestsellers. By the final page you will confidently architect, train, and fine-tune state-of-the-art models, ready to solve vision, language, and forecasting problems in your own projects. Ideal for developers with intermediate Python skills who crave practical, future-proof AI expertise. Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 75,56
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Aggiungi al carrelloCondizione: New.
EUR 58,94
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 59,52
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 2 working days.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Condizione: New.
EUR 65,63
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 77,11
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EUR 70,29
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Aggiungi al carrellopaperback. Condizione: New.
EUR 89,15
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Aggiungi al carrelloPaperback. Condizione: New. 3rd. Why wait to master deep learning when the tools are already within reach? As AI reshapes every industry, learning how to build models like GPT or generate stunning images is no longer a luxury-it is a necessity. Many developers struggle with fragmented tutorials or outdated libraries, leaving them unsure how to translate theory into practice. What if you could gain hands-on experience with the latest tools and techniques, backed by expert guidance, and build models that deliver real results from the start? First-principles walkthroughs: Understand every layer, activation, and optimizer, so troubleshooting feels natural. Keras 3 showcase: Use the newest API features for faster, cleaner model pipelines. Multiframework primer: Compare TensorFlow, PyTorch, and JAX to pick the right tool every time. Generative AI chapters: Craft text with your own GPT-style model and create images using diffusion. Production guidance: Learn scaling, tuning, and deployment tips that move notebooks into real apps. Deep Learning with Python, Third Edition, by François Chollet and Matthew Watson, delivers an authoritative, code-first roadmap from the minds behind Keras. Each chapter builds knowledge step by step, pairing intuitive explanations with color-coded listings you can run immediately. Expanded coverage tackles transformers, diffusion, and hardware-friendly workflows while retaining the approachable tone that made previous editions bestsellers. By the final page you will confidently architect, train, and fine-tune state-of-the-art models, ready to solve vision, language, and forecasting problems in your own projects. Ideal for developers with intermediate Python skills who crave practical, future-proof AI expertise.
EUR 76,69
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Aggiungi al carrelloCondizione: new.
EUR 84,34
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Aggiungi al carrellopaperback. Condizione: New. Special order direct from the distributor.
Lingua: Inglese
Editore: Manning Publications, New York, 2025
ISBN 10: 1633436586 ISBN 13: 9781633436589
Da: CitiRetail, Stevenage, Regno Unito
EUR 58,95
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Why wait to master deep learning when the tools are already within reach? As AI reshapes every industry, learning how to build models like GPT or generate stunning images is no longer a luxuryit is a necessity. Many developers struggle with fragmented tutorials or outdated libraries, leaving them unsure how to translate theory into practice. What if you could gain hands-on experience with the latest tools and techniques, backed by expert guidance, and build models that deliver real results from the start? First-principles walkthroughs: Understand every layer, activation, and optimizer, so troubleshooting feels natural. Keras 3 showcase: Use the newest API features for faster, cleaner model pipelines. Multiframework primer: Compare TensorFlow, PyTorch, and JAX to pick the right tool every time. Generative AI chapters: Craft text with your own GPT-style model and create images using diffusion. Production guidance: Learn scaling, tuning, and deployment tips that move notebooks into real apps. Deep Learning with Python, Third Edition, by Francois Chollet and Matthew Watson, delivers an authoritative, code-first roadmap from the minds behind Keras. Each chapter builds knowledge step by step, pairing intuitive explanations with color-coded listings you can run immediately. Expanded coverage tackles transformers, diffusion, and hardware-friendly workflows while retaining the approachable tone that made previous editions bestsellers. By the final page you will confidently architect, train, and fine-tune state-of-the-art models, ready to solve vision, language, and forecasting problems in your own projects. Ideal for developers with intermediate Python skills who crave practical, future-proof AI expertise. Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 87,89
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 3rd edition. 600 pages. 9.25x7.37x9.25 inches. In Stock.
EUR 92,08
Quantità: 4 disponibili
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 93,71
Quantità: 8 disponibili
Aggiungi al carrelloCondizione: New. 2026. 3rd Edition. paperback. . . . . .
Condizione: New. 2026. 3rd Edition. paperback. . . . . . Books ship from the US and Ireland.
EUR 108,77
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 3rd edition. 600 pages. 9.25x7.37x9.25 inches. In Stock.
EUR 91,75
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 3rd. Why wait to master deep learning when the tools are already within reach? As AI reshapes every industry, learning how to build models like GPT or generate stunning images is no longer a luxury-it is a necessity. Many developers struggle with fragmented tutorials or outdated libraries, leaving them unsure how to translate theory into practice. What if you could gain hands-on experience with the latest tools and techniques, backed by expert guidance, and build models that deliver real results from the start? First-principles walkthroughs: Understand every layer, activation, and optimizer, so troubleshooting feels natural. Keras 3 showcase: Use the newest API features for faster, cleaner model pipelines. Multiframework primer: Compare TensorFlow, PyTorch, and JAX to pick the right tool every time. Generative AI chapters: Craft text with your own GPT-style model and create images using diffusion. Production guidance: Learn scaling, tuning, and deployment tips that move notebooks into real apps. Deep Learning with Python, Third Edition, by François Chollet and Matthew Watson, delivers an authoritative, code-first roadmap from the minds behind Keras. Each chapter builds knowledge step by step, pairing intuitive explanations with color-coded listings you can run immediately. Expanded coverage tackles transformers, diffusion, and hardware-friendly workflows while retaining the approachable tone that made previous editions bestsellers. By the final page you will confidently architect, train, and fine-tune state-of-the-art models, ready to solve vision, language, and forecasting problems in your own projects. Ideal for developers with intermediate Python skills who crave practical, future-proof AI expertise.
EUR 66,76
Quantità: 8 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 3rd. Why wait to master deep learning when the tools are already within reach? As AI reshapes every industry, learning how to build models like GPT or generate stunning images is no longer a luxury-it is a necessity. Many developers struggle with fragmented tutorials or outdated libraries, leaving them unsure how to translate theory into practice. What if you could gain hands-on experience with the latest tools and techniques, backed by expert guidance, and build models that deliver real results from the start? First-principles walkthroughs: Understand every layer, activation, and optimizer, so troubleshooting feels natural. Keras 3 showcase: Use the newest API features for faster, cleaner model pipelines. Multiframework primer: Compare TensorFlow, PyTorch, and JAX to pick the right tool every time. Generative AI chapters: Craft text with your own GPT-style model and create images using diffusion. Production guidance: Learn scaling, tuning, and deployment tips that move notebooks into real apps. Deep Learning with Python, Third Edition, by François Chollet and Matthew Watson, delivers an authoritative, code-first roadmap from the minds behind Keras. Each chapter builds knowledge step by step, pairing intuitive explanations with color-coded listings you can run immediately. Expanded coverage tackles transformers, diffusion, and hardware-friendly workflows while retaining the approachable tone that made previous editions bestsellers. By the final page you will confidently architect, train, and fine-tune state-of-the-art models, ready to solve vision, language, and forecasting problems in your own projects. Ideal for developers with intermediate Python skills who crave practical, future-proof AI expertise.