It takes the average reader 3 hours and 57 minutes to read An Introduction to Neural Networks by Kevin Gurney
Assuming a reading speed of 250 words per minute. Learn more
Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.
An Introduction to Neural Networks by Kevin Gurney is 234 pages long, and a total of 59,436 words.
This makes it 79% the length of the average book. It also has 73% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 24 minutes to read An Introduction to Neural Networks aloud.
An Introduction to Neural Networks is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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