Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
genuine image
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
Masterfully introduces complex concepts in a way approachable for beginners and students.
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
Numéro d'article: 209714523

Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models

86% des répondants recommanderaient ceci à un ami

Numéro d'article: 209714523

XAF 44234

Détails du prix

Hors frais de livraison et de douane ( Les frais de livraison et de douane seront calculés lors du paiement )

*Tous les articles seront importés depuis États-Unis

En stock
États-Unis Importé depuis la boutique USA

QTY:

Commandez maintenant et recevez votre commande aux alentours du Mercredi, Octobre 07
Transaction sécuriséeTransaction sécurisée

Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Masterfully introduces complex concepts in a way approachable for beginners and students.
Montrer plus
Garantie U-Care :
Aucun
Sélectionnez un forfait
fast shipping

Livraison
rapide

free return

Retour
gratuit*

Emballage sécurisé

Emballage sécurisé

Produits 100 % originaux

Produits 100 % originaux

pci-dss

Conformité PCI DSS

iso certified

Certifié ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of États-Unis store (110-120). Recommended power converters Acheter maintenant.

Ce qui se démarque

Comprehensive Coverage
This edition offers an in-depth exploration of deep learning concepts and techniques, catering to both beginners and advanced practitioners, enhancing their understanding of PyTorch effectively.
Hands-On Examples
Packed with practical exercises, this book provides readers with real-world applications of deep learning, enabling them to build and optimize models with confidence using PyTorch.
Updated Techniques
Reflecting the latest advancements in deep learning, the book covers cutting-edge practices, ensuring readers are well-versed in current industry trends and methodologies.

Détails du produit

Shop Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models online at a best price in Gabon. 1633438856
  • Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.PyTorch core developer Howard Huang updates the bestselling original Deep Learning with PyTorch with new insights into the transformers architecture and generative AI models.Instantly familiar to anyone who knows PyData tools like NumPy, PyTorch simplifies deep learning without sacrificing advanced features. In this book you’ll learn how to create your own neural network and deep learning systems and take full advantage of PyTorch’s built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. You’ll discover how easy PyTorch makes it to build your entire DL pipeline, including using the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. Each new technique you learn is put into action with practical code examples in each chapter, culminating into you building your own convolution neural networks, transformers, and even a real-world medical image classifier.In Deep Learning with PyTorch, Second Edition you’ll find:• Deep learning fundamentals reinforced with hands-on projects• Mastering PyTorch's flexible APIs for neural network development• Implementing CNNs, transformers, and diffusion models• Optimizing models for training and deployment• Generative AI models to create images and textAbout the technologyThe powerful PyTorch library makes deep learning simple—without sacrificing the features you need to create efficient neural networks, LLMs, and other ML models. Pythonic by design, it’s instantly familiar to users of NumPy, Scikit-learn, and other ML frameworks. This thoroughly-revised second edition covers the latest PyTorch innovations, including how to create and refine generative AI models.About the bookDeep Learning with PyTorch, Second Edition shows you how to build neural network models using the latest version of PyTorch. Clear explanations and practical projects help you master the fundamentals and explore advanced architectures including transformers and LLMs. Along the way you’ll learn techniques for training using augmented data, improving model architecture, and fine tuning.What's inside• PyTorch APIs for neural network development• LLMs, transformers, and diffusion models• Model training and deploymentAbout the readerFor Python programmers with a background in machine learning.About the authorHoward Huang is a software engineer and developer on the PyTorch library focusing on large scale, distributed training. Eli Stevens, Luca Antiga, and Thomas Viehmann authored the first edition of Deep Learning with PyTorch.Table of ContentsPart 11 Introducing deep learning and the PyTorch library2 Pretrained networks3 It starts with a tensor4 Real-world data representation using tensors5 The mechanics of learning6 Using a neural network to fit the data7 Telling birds from airplanes: Learning from images8 Using convolutions to generalizePart 29 How transformers work10 Diffusion models for images11 Using PyTorch to fight cancer12 Combining data sources into a unified dataset13 Training a classification model to detect suspected tumors14 Improving training with metrics and augmentation15 Using segmentation to find suspected nodules16 Training models on multiple GPU17 Deploying to production
Publisher Manning Publications
Publication date March 10, 2026
Edition 2nd
Language English
Print length 544 pages
ISBN-10 1633438856
ISBN-13 978-1633438859
Item Weight 1.58 pounds (720 grams)
Dimensions 7.38 x 1.36 x 9.25 inches (18.7 x 3.5 x 23.5 cm)

À qui est-ce destiné ?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners seeking to gain a solid foundational understanding of deep learning concepts and frameworks.

  • Machine Learning Enthusiasts

    Great for individuals interested in exploring advanced techniques and applications of machine learning using PyTorch.

  • Academic Researchers

    Useful for those involved in research requiring deep learning for experiments, particularly in artificial intelligence and related fields.

Not Suitable For
  • Absolute Beginners

    May not suit those without prior programming or machine learning experience, as concepts might be overly complex.

DESCRIPTION DU PRODUIT

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What is Deep Learning with PyTorch, Second Edition about?

    répondre: Deep Learning with PyTorch, Second Edition, offers comprehensive insights into deep learning concepts and practical applications using PyTorch. The book covers fundamental theories, cutting-edge techniques, and hands-on projects tailored for creating Generative AI models. Readers will gain a solid foundation in neural networks, convolutional networks, and reinforcement learning. This edition also integrates modern advancements, making it perfect for both beginners and experienced practitioners looking to enhance their skills and knowledge.
  • question: Who should read Deep Learning with PyTorch, Second Edition?

    répondre: This book is ideal for data scientists, machine learning practitioners, and students who wish to deepen their understanding of deep learning. It is particularly valuable for those interested in applying PyTorch for real-world projects. Professionals transitioning from traditional programming to AI development will also find it beneficial. Whether you're a newcomer or have some experience, this guide provides essential insights and practical examples to foster your learning journey.
  • question: What kind of projects can I expect in this book?

    répondre: The book features various hands-on projects, including image classification, natural language processing, and the development of generative models. Each project is structured to facilitate learning, guiding readers through the implementation process step-by-step. These practical applications help solidify theoretical knowledge while encouraging creativity in applying deep learning techniques. Ideal for boosting your portfolio, these projects can serve as great references for future work or academic pursuits.
  • question: Does the book cover advancements in generative AI?

    répondre: Yes, the second edition delves into generative AI, focusing on building models that can create new content. This includes techniques such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). The inclusion of these topics highlights the book's commitment to staying current with the latest trends and tools in AI development. Readers will learn how to implement these advanced models for various applications, enhancing their ability to work in innovative areas of technology.
  • question: Is prior knowledge of Python required?

    répondre: While prior experience with Python is beneficial, it is not strictly required. The book provides foundational programming concepts intertwined with deep learning principles, making it accessible for those willing to learn. Beginners may need to invest some time in familiarizing themselves with Python basics, especially the libraries used in AI such as NumPy and Pandas. Overall, enthusiastic learners with a motivation to explore deep learning can successfully navigate this guide regardless of their initial skill level.
  • question: How does this book compare to other deep learning resources?

    répondre: Deep Learning with PyTorch, Second Edition stands out due to its practical approach and the use of PyTorch, a popular framework in the industry. Unlike many theoretical texts, this book emphasizes hands-on experience, allowing readers to apply what they learn immediately. Additionally, its updated coverage of contemporary AI techniques ensures that readers engage with relevant content. This makes it a go-to resource not only for academics but also for professionals looking to enhance their practical skills in real-world applications.
  • question: Can this book help me prepare for a career in AI?

    répondre: Absolutely! This book equips readers with the knowledge and skills needed to excel in AI careers by providing practical examples and comprehensive explanations of complex concepts. By working through the projects and techniques outlined in the book, readers can build a portfolio that demonstrates their competence in deep learning and PyTorch, making them attractive candidates to potential employers. Additionally, the hands-on nature fosters problem-solving abilities which are crucial in the fast-evolving tech landscape.
  • question: What format is the book available in?

    répondre: Deep Learning with PyTorch, Second Edition is typically available in both print and digital formats. The digital version allows for portability and ease of access, enabling you to study on-the-go, while the print version provides a tangible resource for referencing techniques. Both formats are designed to enhance the learning experience by providing clear visuals and structured content. This flexibility ensures that readers can choose an option that best suits their learning preferences.
  • question: Are there online resources or communities for readers?

    répondre: Yes, many online communities, forums, and resources support readers of Deep Learning with PyTorch. Websites like GitHub, Stack Overflow, and specialized forums provide platforms for discussion, troubleshooting, and collaboration. Readers can join these communities to share insights and build connections with other learners and professionals. Additionally, many online courses and video tutorials complement the book, offering varied learning tools to reinforce the material covered. Participating in these communities is a great way to enhance one’s understanding and network with like-minded individuals.
  • question: Where can I buy Deep Learning With PyTorch, Second Edition in Gabon?

    répondre: You can buy Deep Learning With PyTorch, Second Edition on Ubuy, which offers a wide selection of books and educational materials. Ubuy is a reliable platform catering to various customer needs, providing easy access to this essential resource for mastering deep learning principles. It’s an excellent choice for obtaining the book swiftly and securely while benefiting from various shipping options tailored for your convenience.

Neural Networks Editorial Review

  • ubuy Gabon
  • ubuy Gabon
Aucune critique éditoriale trouvée

Avis et évaluations clients

24 évaluations des clients
  • 5 étoile
    70%
  • 4 étoile
    10%
  • 3 étoile
    7%
  • 2 étoile
    7%
  • 1 étoile
    6%

Donnez votre avis sur ce produit

Partagez votre avis avec d'autres clients

CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR

trustpilot logo
4.2/5 9477 avis
Lire les avis
JK
Jasmin
Acheteur vérifié

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Acheteur vérifié

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Acheteur vérifié

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Acheteur vérifié

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Acheteur vérifié

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Paiement sécurisé Global Delivery Retours faciles Genuine Products

Historique des prix du produit

Informations importantes

  • Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
  • Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

XAF 44234

Commandez maintenant et recevez votre commande aux alentours du Mercredi, Octobre 07

QTY:

Transaction sécuriséeTransaction sécurisée

Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Livraison transfrontalière la plus rapide

Caractéristiques et avantages

  • Covers all levels from beginner to advanced in deep learning with PyTorch.
  • Seamless structure enhances learning experience.
  • Practical projects help apply concepts to real-world problems.
  • Up-to-date content on the latest techniques in AI and ML.
  • Includes hands-on coding examples for building various neural networks.
  • Access to supplementary resources like eBooks and an AI assistant.

Assurance Ubuy

Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.