Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Product ID: 334403412
📘Comprehensive deep learning guide
🚀Progressive learning curve
⚙️Practical engineering focus
43.19 OMR
1
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Description
📘 Unlock the future of AI with hands-on deep learning mastery!
- INTUITION MEETS APPLICATION - Understand tradeoffs in gradient flow, convolution, and attention mechanisms.
- TRUSTED BY THE TECH COMMUNITY - 4.7-star rating with 120+ reviews and top ranks in programming categories.
- STEP BY STEP SKILL PROGRESSION - From core principles to advanced transformers without prior expertise.
- ENGINEERED FOR REAL WORLD IMPACT - Focus on practical implementation, not just academic proofs.
- MASTER DEEP LEARNING WITH CLARITY - Build a working mental model beyond buzzwords and theory.
Learning Deep Learning is a practical, engineering-focused guide that demystifies neural networks, computer vision, NLP, and transformers using TensorFlow. It emphasizes intuition and real-world application over heavy math, making it ideal for engineers and technical practitioners aiming to build effective deep learning solutions.
Specifications
| Best Sellers Rank | #122,029 in Books ( See Top 100 in Books ) #157 in Web Programming #181 in Databases & Big Data #243 in Computer Programming Languages |
| Customer reviews | 4.7 4.7 out of 5 stars (123) |
| Dimensions | 18.54 x 2.79 x 22.86 cm |
| Edition | 1st |
| ISBN-10 | 0137470355 |
| ISBN-13 | 978-0137470358 |
| Item weight | 975 g |
| Language | English |
| Print length | 752 pages |
| Publication date | 11 October 2021 |
| Publisher | Addison-Wesley Professional |
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