- Home Page /
- Books /
- Computers & Technology /
- Computer Science /
- AI & Machine Learning /
- Neural Networks /
- Deep Learning with PyTorch, Second Edition: T...
Item #:
209714523
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
86% of respondents would recommend this to a friend
Item #:
209714523
TTD 477
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from US
0 ratings
Write a review
In stock
Imported from USA store
QTY:
Order now and get it around Wednesday, October 07
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
Masterfully introduces complex concepts in a way approachable for beginners and students.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
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.
Product Details
| 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) |
Who Should Buy?
-
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.
-
Absolute Beginners
May not suit those without prior programming or machine learning experience, as concepts might be overly complex.
Product Description
Deep Learning with PyTorch, Second Edition: Training and applying deep learning and generative AI models
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What is the target audience for this book?
Answer: The book is aimed at both beginners and advanced learners interested in deep learning and PyTorch. -
Question:
Are there practical projects included?
Answer: Yes, the book includes hands-on projects to reinforce concepts and apply them to real-world scenarios. -
Question:
Can I access additional resources after purchase?
Answer: Yes, you will receive a free eBook and access to the online liveBook format with an AI assistant.
Neural Networks Editorial Review
**** "Deep Learning with PyTorch, Second Edition" emerges as a pivotal resource for both newcomers and experienced practitioners delving into the realm of deep learning with PyTorch. Structured cohesively into two parts—Core PyTorch and Practical Applications—it caters effectively to diverse audiences by balancing theoretical foundations with real-world applications. Readers particularly appreciate the accessibility of Part 1, which begins with fundamental concepts like tensors and their interaction with NumPy arrays, making it a go-to for those with a Python or R background but new to PyTorch. The authors' decision to include practical, hands-on examples, such as using the HuggingFace transformers library, facilitates deeper understanding and engagement. The clarity of real-world examples, such as medical image analysis, significantly enhances the learning experience, showcasing not only how to build and evaluate models but also the complexities involved in challenging tasks, like detecting tumors in CT scans. The second part of the book dives into advanced topics, including scaling models for large datasets and deploying solutions. This edition impressively covers cutting-edge advancements in AI, such as large language models and attention mechanisms, ensuring it remains relevant in today’s rapidly evolving landscape. The progression of topics, from foundational deep learning to generative models, is notably well-paced, permitting readers to build confidence gradually. With each chapter accompanied by conclusions, exercises, and summaries, the structure is designed to reinforce learning and retention. Readers find themselves transitioning from a high-level understanding to a practical expertise in PyTorch, bridging the gap between theoretical learning and actual application. Moreover, the engaging writing style and comprehensible explanations make complex machine learning topics digestible. Customers laud the book as their indispensable reference manual for building and training deep learning models, highlighting it as an essential addition to any data scientist or AI engineer's library. In summary, this book stands out for its approachable presentation of complex material, the practical focus of its content, and its well-paced progression through deep learning themes. **
Customer Reviews & Ratings
1 customers ratings
-
5 Star
100%
-
4 Star
0%
-
3 Star
0%
-
2 Star
0%
-
1 Star
0%
Review this product
Share your thoughts with other customers
Pros
- Clear and accessible explanations suited for both beginners and experienced practitioners.
- Practical examples that enhance understanding and real-world applicability.
- Updated content addressing recent advancements in AI and large language models.
- Well-organized structure with conclusions, exercises, and summaries to reinforce learning.
- Hands-on approach that bridges theory and practical application effectively.
Cons
- Newcomers to deep learning may still find some topics challenging.
Platform Trust & Buyer Confidence
JK
Jasmin
Verified buyer
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
AG
Anke
Verified buyer
“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
Verified buyer
“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
Verified buyer
“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
Verified buyer
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
Secure Checkout
Global Delivery
Easy Returns
Genuine Products
Product Price History
Important information
- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
- Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.
TTD 477
Order now and get it around Wednesday, October 07
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Features & Benefits
- 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.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.