- Home Page /
- Books /
- Computers & Technology /
- Computer Science /
- AI & Machine Learning /
- Intelligence & Semantics /
- PyTorch Pocket Reference: Building and Deploy...
Item #:
32224869
PyTorch Pocket Reference: Building and Deploying Deep Learning Models 1st Edition
82% of respondents would recommend this to a friend
Item #:
32224869
MKD 1489
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 28
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
PyTorch has, no doubt, enabled some of the finest advances in deep learning and AI.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Buy Now.
What Stands Out
Concise Guide
A compact reference that provides essential information on PyTorch, ideal for quickly building and deploying deep learning models without overwhelming detail, making it perfect for beginners and busy professionals.
Hands-On Approach
Includes practical examples and real-world applications, enabling users to immediately implement learned concepts, thus enhancing understanding and retention of deep learning techniques.
Updated Content
Current with the latest PyTorch developments, this edition ensures users are working with the most up-to-date tools and practices, giving them a competitive edge in the rapidly evolving field of deep learning.
Product Details
| Publisher | O'Reilly Media |
| Publication date | June 15, 2021 |
| Edition | 1st |
| Language | English |
| Print length | 307 pages |
| ISBN-10 | 149209000X |
| ISBN-13 | 978-1492090007 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 4.25 x 0.65 x 7 inches (10.8 x 1.7 x 17.8 cm) |
Who Should Buy?
-
Beginner Developers
Ideal for newcomers to deep learning looking for a concise guide to start building models using PyTorch.
-
Busy Professionals
Perfect for data scientists and ML engineers who need a quick reference for PyTorch without extensive reading.
-
Rapid Prototypers
Beneficial for those requiring swift model development and deployment, providing essential insights without overwhelming detail.
-
Comprehensive Learners
Not suitable for those who prefer in-depth study and theoretical understanding of deep learning concepts.
Product Description
PyTorch Pocket Reference: Building and Deploying Deep Learning Models 1st Edition
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
How to Shop PyTorch Pocket Reference: Building and Deploying Online From Ubuy?
Answer: It’s easy to shop PyTorch Pocket Reference: Building and Deploying online from Ubuy. You just have to search for the product, choose your shipping method while checking out and get it delivered to your location. -
Question:
Is PyTorch Pocket Reference: Building and Deploying Available to Shop Online in North Macedonia?
Answer: Yes, at Ubuy North Macedonia this product is available for you to shop at a reasonable price. The PyTorch Pocket Reference: Building and Deploying is not available locally but you can trust us with our express shipping services. -
Question:
How Long Does It Take to Get Product After Placing the Order?
Answer: The delivery time of your ordered product varies as per what you've ordered and the shipping method that you've chosen. The estimated delivery time is mentioned during the checkout process, so be carefree while shopping.
Intelligence & Semantics Editorial Review
The "PyTorch Pocket Reference" offers a valuable resource for users of PyTorch, providing clear explanations of concepts that are sometimes challenging to find in official documentation. Users appreciate its convenience as a quick reference and its ability to streamline the process of setting up optimization loops and using various functions within PyTorch. The book is commended for its comprehensive coverage of end-to-end development in a succinct manner, making it ideal for travel or as a handy guide. However, some readers have noted that the book's price may not align with its value, suggesting that potential buyers should be cautious. Additionally, concerns have been raised about the size of the book, with one user criticizing its small print and suggesting the use of a magnifying glass to read it. While the content is praised for its depth and detail, there are calls for updates to ensure the relevance of the code examples provided. Overall, the "PyTorch Pocket Reference" serves as a useful tool for intermediate to advanced users of PyTorch, offering practical insights and guidance for navigating the framework efficiently.
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 explanations of PyTorch concepts
- Valuable quick reference for optimization and function use
- Comprehensive coverage of end-to-end development
- Useful for solo learners seeking in-depth insights
Cons
- Concerns about the price compared to value
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.
MKD 1489
Order now and get it around Wednesday, October 28
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
- PyTorch enables significant advances in deep learning and AI
- The book is suitable for both beginners and advanced users in machine learning and AI.
- Written for those interested in exploring PyTorch with examples and detailed explanations.
- Helps beginners learn basics, introduces PyTorch API to users of other frameworks, and covers advanced topics for experienced users.
- The author aims to provide a comprehensive resource for learning and mastering PyTorch.
- The book addresses the need for a resource with high-level overviews and detailed examples.
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.