The Deep Learning Revolution
7.49 / 10 424 ratings
- Language
- English
- Published
- 2018
- Publisher
- The MIT Press
- Pages
- 352
- ISBN
- 9780262038034
Terrence J. Sejnowski, a pioneer in computational neuroscience, details the origins and impact of deep learning in The Deep Learning Revolution. The book explains how artificial neural networks, inspired by the human brain, have evolved from an academic concept into a technology that underpins advancements such as driverless cars, sophisticated language translation, and intelligent personal assistants. Sejnowski, who helped develop foundational learning algorithms for neural networks in the 1980s, chronicles the journey of this field, illustrating the surprising similarities between silicon chips and living neurons.
This narrative explores how combining discoveries in neuroscience and biology with new learning algorithms has propelled artificial intelligence forward, challenging previous notions about what computers could achieve. It offers insights into how deep learning is not only transforming technology and various industries but also reshaping our understanding of intelligence itself, preparing readers for the profound changes this revolution continues to bring to daily life and the economy.
This narrative explores how combining discoveries in neuroscience and biology with new learning algorithms has propelled artificial intelligence forward, challenging previous notions about what computers could achieve. It offers insights into how deep learning is not only transforming technology and various industries but also reshaping our understanding of intelligence itself, preparing readers for the profound changes this revolution continues to bring to daily life and the economy.
Subjects
- Science & Math
- Computers & Technology
- Engineering & Transportation
- Biology
- Engineering
- Professional, Career & Trade
- Technology
- Computer Science
- AI & Machine Learning
- Biological Sciences & Nutrition
- Social Aspects
- Special Topics
- History & Culture
- Computers
- Neuroscience
- Database Management
- Neurobiology
- Artificial intelligence
- Computer Vision & Pattern Recognition
- Intelligence (AI) & Semantics
- Evolution
- Natural Language Processing
- Data Science
- Data Mining
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