(H/B) THE DEEP LEARNING REVOLUTION

Παρουσίαση

How deep learning - from Google Translate to driverless cars to personal cognitive assistants - is changing our lives and transforming every sector of the economy.
The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future. (From the publisher)

Περιεχόμενα

Preface
Part I: Intelligence reimagined
1. The rise of machine learning
2. The rebirth of artificial intelligence
3. The dawn of neural networks
4. Brain-style computing
5. Insights from the visual system
Part II: Many ways to learn
6. The cocktail party problem
7. The Hopfield net and Boltzmann machine
8. Backpropagating errors
9. Convolutional learning
10. Reward learning
11. Neural information processing systems
Part III: Technological and scientific impact
12. The future of machine learning
13. The age of algorithms
14. Hello, Mr. Chips
15. Inside information
16. Consciousness
17. Nature is cleverer than we are
18. Deep intelligence
Acknowledgments
Recommended reading
Glossary
Notes
Index