It takes the average reader 4 hours and 57 minutes to read An Information-Theoretic Approach to Neural Computing by Gustavo Deco
Assuming a reading speed of 250 words per minute. Learn more
Neural networks provide a powerful new technology to model and control nonlinear and complex systems. In this book, the authors present a detailed formulation of neural networks from the information-theoretic viewpoint. They show how this perspective provides new insights into the design theory of neural networks. In particular they show how these methods may be applied to the topics of supervised and unsupervised learning including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from several different scientific disciplines, notably cognitive scientists, engineers, physicists, statisticians, and computer scientists, will find this to be a very valuable introduction to this topic.
An Information-Theoretic Approach to Neural Computing by Gustavo Deco is 288 pages long, and a total of 74,304 words.
This makes it 97% the length of the average book. It also has 91% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 46 minutes to read An Information-Theoretic Approach to Neural Computing aloud.
An Information-Theoretic Approach to Neural Computing 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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