Deep Learning
Product ID: 254153399
📘296 pages of AI mastery
📚MIT Press quality & credibility
🤖Core AI tech for future-proof skills
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Description
🤖 Unlock the AI revolution — your essential guide to mastering deep learning today!
- TRUSTED SOURCE - Published by MIT Press, a hallmark of academic excellence and innovation.
- FUTURE READY INSIGHTS - Explore emerging trends and challenges shaping the AI revolution.
- PRACTICAL AI FOUNDATIONS - Master gradient descent and backpropagation — the algorithms powering modern AI.
- COMPREHENSIVE YET ACCESSIBLE - Demystifies deep learning for professionals and enthusiasts alike without drowning in jargon.
- CUTTING EDGE ARCHITECTURES EXPLAINED - From GANs to capsule networks, stay ahead with the latest AI breakthroughs.
Deep Learning by John Kelleher is a 296-page paperback from MIT Press that offers a clear, concise introduction to the AI technology transforming industries. Covering fundamental algorithms, key architectures like GANs and RNNs, and future trends, this book equips professionals with the knowledge to understand and leverage deep learning in real-world applications such as computer vision, speech recognition, and autonomous vehicles.
Specifications
| Best Sellers Rank | #93,422 in Books ( See Top 100 in Books ) #634 in Computer Science #5,563 in Science, Nature & Math #10,140 in Higher & Continuing Education Textbooks |
| Customer reviews | 4.5 4.5 out of 5 stars (387) |
| Dimensions | 12.9 x 1.9 x 17.8 cm |
| Edition | Illustrated |
| ISBN-10 | 0262537559 |
| ISBN-13 | 978-0262537551 |
| Item weight | 227 g |
| Language | English |
| Print length | 296 pages |
| Publication date | 10 September 2019 |
| Publisher | MIT Press |
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