--- product_id: 334403412 title: "Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow" price: "€ 107.82" currency: EUR in_stock: true reviews_count: 5 url: https://www.desertcart.de/products/334403412-learning-deep-learning-theory-and-practice-of-neural-networks-computer store_origin: DE region: Germany --- # Comprehensive DL guide Advanced architectures like transformers Hands-on neural network practice Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow **Price:** € 107.82 **Availability:** βœ… In Stock ## Summary > πŸ€“ Unlock the future of AI mastery with clarity and confidence! ## Quick Answers - **What is this?** Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow - **How much does it cost?** € 107.82 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.de](https://www.desertcart.de/products/334403412-learning-deep-learning-theory-and-practice-of-neural-networks-computer) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - β€’ **Broad Coverage of Key Topics:** Explore gradient flow, convolutional design, attention mechanisms, and transformers with clarity. - β€’ **Real-World Application Focus:** Skip heavy mathβ€”gain actionable insights to implement and optimize DL systems effectively. - β€’ **Step-by-Step Skill Progression:** From core principles to cutting-edge models, learn in a structured, intentional flow that sticks. - β€’ **Master Deep Learning Engineering:** Build practical intuition beyond theory to design and troubleshoot neural networks like a pro. - β€’ **Trusted by the Data Science Community:** Highly rated (#121 in Databases & Big Data) and praised for bridging theory and practice. ## Overview Learning Deep Learning is a practical, hands-on guide that demystifies neural networks, computer vision, NLP, and transformers using TensorFlow. It emphasizes engineering intuition over heavy math, making it ideal for professionals seeking to apply deep learning concepts effectively. With a structured progression and real-world focus, this book is a top-rated resource for mastering modern AI techniques. ## Description NVIDIA''s Full-Color Guide to Deep Learning: All StudentsNeed to Get Started and Get Results Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on p Review: Strong Bridge Between Theory and Real-World Deep Learning - This book stands out because it treats deep learning as an engineering discipline, not just an academic topic. Instead of overwhelming the reader with formal proofs or staying at a buzzword level, it focuses on building a working mental model of how modern neural networks behave. What I found most valuable is the emphasis on intuition tied to implementation. Topics like gradient flow, convolutional design, and attention mechanisms are explained in a way that makes their tradeoffs clear. You come away understanding not just how to use these techniques, but how to reason about them when things break or underperform. The progression is also well thought out. It starts with core principles and gradually moves into more advanced architectures like transformers without assuming prior specialization. Each section builds on the last in a way that feels intentional rather than stitched together. One important note: this is not a math-heavy text. If you’re looking for formal derivations, you may want a companion resource. But if your goal is to actually apply deep learning and make informed design decisions, this book delivers. In short, this is a solid choice for engineers and technical practitioners who want clarity, context, and practical understanding rather than theory for its own sake. Review: Muy bueno - Esta muy bueno! ## Features - Item Trademark: ADDISON WESLEY - manufacturer: Addison Wesley - Item Weight: grams, pounds, 2.42508488200, 1100. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #97,950 in Books ( See Top 100 in Books ) #121 in Databases & Big Data #132 in Web Programming #195 in Computer Programming Languages | | Customer Reviews | 4.7 out of 5 stars 118 Reviews | ## Images ![Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow - Image 1](https://m.media-amazon.com/images/I/81D4C4ZSRHL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Strong Bridge Between Theory and Real-World Deep Learning *by D***D on 17 April 2026* This book stands out because it treats deep learning as an engineering discipline, not just an academic topic. Instead of overwhelming the reader with formal proofs or staying at a buzzword level, it focuses on building a working mental model of how modern neural networks behave. What I found most valuable is the emphasis on intuition tied to implementation. Topics like gradient flow, convolutional design, and attention mechanisms are explained in a way that makes their tradeoffs clear. You come away understanding not just how to use these techniques, but how to reason about them when things break or underperform. The progression is also well thought out. It starts with core principles and gradually moves into more advanced architectures like transformers without assuming prior specialization. Each section builds on the last in a way that feels intentional rather than stitched together. One important note: this is not a math-heavy text. If you’re looking for formal derivations, you may want a companion resource. But if your goal is to actually apply deep learning and make informed design decisions, this book delivers. In short, this is a solid choice for engineers and technical practitioners who want clarity, context, and practical understanding rather than theory for its own sake. ### ⭐⭐⭐⭐⭐ Muy bueno *by C***E on 27 September 2025* Esta muy bueno! ### ⭐⭐⭐⭐⭐ Goed boek voor wie zich wenst te verdiepen in DL. *by J***N on 12 May 2026* Goed boek voor wie zich wenst te verdiepen in DL. ## Frequently Bought Together - Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow - Deep Learning (Adaptive Computation and Machine Learning series) - Deep Learning with Python, Second Edition --- ## Why Shop on Desertcart? - πŸ›’ **Trusted by 1.3+ Million Shoppers** β€” Serving international shoppers since 2016 - 🌍 **Shop Globally** β€” Access 737+ million products across 21 categories - πŸ’° **No Hidden Fees** β€” All customs, duties, and taxes included in the price - πŸ”„ **15-Day Free Returns** β€” Hassle-free returns (30 days for PRO members) - πŸ”’ **Secure Payments** β€” Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** β€” Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.de/products/334403412-learning-deep-learning-theory-and-practice-of-neural-networks-computer](https://www.desertcart.de/products/334403412-learning-deep-learning-theory-and-practice-of-neural-networks-computer) --- *Product available on Desertcart Germany* *Store origin: DE* *Last updated: 2026-07-21*