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Añadir al carritopaperback. Condición: Very Good. Grade 3 out 5 points. This is a used book. Book has wear on cover and pages. May have personalized notes/names, stickers/labels. Has no markings on pages. May not include extra materials like access codes, CDs, accessories, etc. All orders ship by next business day! We are a small company and very thankful for your business!
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Añadir al carritoPaperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Añadir al carritopaperback. Condición: New. This is a new book. All orders ship by next business day! We are a small company and very thankful for your business!
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por No Starch Press 1/6/2026, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 41,74
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Añadir al carritoPaperback or Softback. Condición: New. Deep Learning Crash Course. Book.
Idioma: Inglés
Publicado por No Starch Press,US, San Francisco, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 42,31
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Añadir al carritoPaperback. Condición: new. Paperback. A complete guide to deep neural networks - the technology behind AI - covering fundamental and advanced techniques to apply machine learning in real-world scenarios.Build AI Models from Scratch (No PhD Required)Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today's most powerful AI models from scratch. No experience with deep learning required!Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory.You'll start from the basics, and using PyTorch with real datasets, you'll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub.You'll build and train models to-Classify and analyze images, sequences, and time seriesGenerate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion modelsProcess natural language with recurrent neural networks and transformersModel molecules and physical systems with graph neural networksImprove continuously through reinforcement and active learningPredict chaotic systems with reservoir computingWhether you're an engineer, scientist, or professional developer, you'll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you'll move from using AI tools to creating them. "A comprehensive, hands-on guide to deep learning using Python, combining theoretical concepts with practical examples and step-by-step code implementation. Covers foundational topics as well as advanced subjects such as generative models and reinforcement learning"-- Provided by publisher. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoCondición: As New. Unread book in perfect condition.
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por No Starch Press,US, US, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 48,18
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Añadir al carritoPaperback. Condición: New. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.
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Añadir al carritoPaperback. Condición: New.
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
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Añadir al carritoPaperback. Condición: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
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Añadir al carritopaperback. Condición: New. Special order direct from the distributor.
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Añadir al carritoCondición: new.
EUR 66,90
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Random House LLC US Jan 2026, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 57,50
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Build AI Models from Scratch (No PhD Required)Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today's most powerful AI models from scratch. No experience with deep learning required!Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory.You'll start from the basics, and using PyTorch with real datasets, you'll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub.You'll build and train models to: - Classify and analyze images, sequences, and time series- Generate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion models- Process natural language with recurrent neural networks and transformers- Model molecules and physical systems with graph neural networks- Improve continuously through reinforcement and active learning- Predict chaotic systems with reservoir computingWhether you're an engineer, scientist, or professional developer, you'll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you'll move from using AI tools to creating them. 680 pp. Englisch.
Idioma: Inglés
Publicado por Random House LLC US Jan 2026, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 57,50
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Build AI Models from Scratch (No PhD Required)Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today's most powerful AI models from scratch. No experience with deep learning required!Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory.You'll start from the basics, and using PyTorch with real datasets, you'll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub.You'll build and train models to: - Classify and analyze images, sequences, and time series- Generate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion models- Process natural language with recurrent neural networks and transformers- Model molecules and physical systems with graph neural networks- Improve continuously through reinforcement and active learning- Predict chaotic systems with reservoir computingWhether you're an engineer, scientist, or professional developer, you'll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you'll move from using AI tools to creating them. 680 pp. Englisch.
EUR 71,00
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
EUR 66,81
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Añadir al carritoPaperback. Condición: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
EUR 66,81
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.