--- product_id: 169894079 title: "Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools" price: "€ 93.86" currency: EUR in_stock: false reviews_count: 13 url: https://www.desertcart.nl/products/169894079-deep-learning-with-pytorch-build-train-and-tune-neural-networks store_origin: NL region: Netherlands --- # Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools **Price:** € 93.86 **Availability:** ❌ Out of Stock ## Quick Answers - **What is this?** Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools - **How much does it cost?** € 93.86 with free shipping - **Is it available?** Currently out of stock - **Where can I buy it?** [www.desertcart.nl](https://www.desertcart.nl/products/169894079-deep-learning-with-pytorch-build-train-and-tune-neural-networks) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools [Stevens, Eli, Antiga, Luca, Viehmann, Thomas] on desertcart.com. *FREE* shipping on qualifying offers. Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools Review: Manning rules. - While the content of the books published by Manning varies, the vast majority of their books are excellent, and I value their policies. I typically buy the eBook + print, starting to read and learn immediately while the paperback arrives for my collection "whenever". Better yet, Manning's books are decently priced and the publisher also provides early access to books as they are being written. As the eBook progresses and you read, you can be certain that a printed copy/final eBook arrives "when done". This is extremely important in the fast-paced topics (e.g., machine learning) that these books address, and I have recommended several books of their catalogue to students in the past. This book, as well as many others of their catalogue, are pretty much hands-on and come with complementary code examples (Manning Live Book). This provides a way to get going quickly and reproduce the examples from the book without hassle. Review: Great start for deep learning - This book starts off slow, but goes into detail about PyTorch, tensors, back propagation, etc. It is a great introduction to the field and helps to understand convolutions, resnets, etc. One large basic component that it is currently lacking is a chapter on language models and attention. Hopefully the second edition will include this information down the line. Finally, the networks here are mostly sequential. The final example that takes part in the last half of the book is not incredibly useful in my opinion, but it does help to see a DL project all the way through. A few chapters about branching networks, combining 1D/2D/3D information, cross attention, and some of the current interesting complexity in the field would be welcome. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #183,343 in Books ( See Top 100 in Books ) #57 in Computer Neural Networks #91 in Python Programming #405 in Artificial Intelligence & Semantics | | Customer Reviews | 4.4 4.4 out of 5 stars (151) | | Dimensions | 7.38 x 1.1 x 9.25 inches | | Edition | First Edition | | ISBN-10 | 1617295264 | | ISBN-13 | 978-1617295263 | | Item Weight | 1.95 pounds | | Language | English | | Print length | 520 pages | | Publication date | August 4, 2020 | | Publisher | Manning | ## Images ![Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools - Image 1](https://m.media-amazon.com/images/I/71HHW4gzTVL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Manning rules. *by J***R on July 31, 2023* While the content of the books published by Manning varies, the vast majority of their books are excellent, and I value their policies. I typically buy the eBook + print, starting to read and learn immediately while the paperback arrives for my collection "whenever". Better yet, Manning's books are decently priced and the publisher also provides early access to books as they are being written. As the eBook progresses and you read, you can be certain that a printed copy/final eBook arrives "when done". This is extremely important in the fast-paced topics (e.g., machine learning) that these books address, and I have recommended several books of their catalogue to students in the past. This book, as well as many others of their catalogue, are pretty much hands-on and come with complementary code examples (Manning Live Book). This provides a way to get going quickly and reproduce the examples from the book without hassle. ### ⭐⭐⭐⭐⭐ Great start for deep learning *by D***D on September 16, 2022* This book starts off slow, but goes into detail about PyTorch, tensors, back propagation, etc. It is a great introduction to the field and helps to understand convolutions, resnets, etc. One large basic component that it is currently lacking is a chapter on language models and attention. Hopefully the second edition will include this information down the line. Finally, the networks here are mostly sequential. The final example that takes part in the last half of the book is not incredibly useful in my opinion, but it does help to see a DL project all the way through. A few chapters about branching networks, combining 1D/2D/3D information, cross attention, and some of the current interesting complexity in the field would be welcome. ### ⭐⭐⭐⭐⭐ Boost your understanding, you skills and save you tons of time! *by J***Z on September 9, 2020* I purchased this book quite a few days ago and I cannot stop reading it! Although I am somewhat experienced with both PyTorch and Deep Learning, I took a course in Deep Learning and read various articles online, I cannot emphasize more how much I like this book. It organizes both PyTorch and Deep Learning material in a nice and understandable way reaching a broad audience. It is not spoon fed but it is not too technical either. It is exactly what I needed it. I strongly recommend this book and guarantee its value, just buy it and read it as soon as possible. ## Frequently Bought Together - Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools - Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python - Build a Large Language Model (From Scratch) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.nl/products/169894079-deep-learning-with-pytorch-build-train-and-tune-neural-networks](https://www.desertcart.nl/products/169894079-deep-learning-with-pytorch-build-train-and-tune-neural-networks) --- *Product available on Desertcart Netherlands* *Store origin: NL* *Last updated: 2026-05-19*