Value: $38.56
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“authoritative, humorous, and concise” Steven Strogatz, Professor of Utilized Arithmetic, Cornell College.
The mind has all the time had a elementary benefit over typical computer systems: it might be taught. Nevertheless, a brand new technology of synthetic intelligence algorithms, within the type of deep neural networks, is quickly eliminating that benefit. Deep neural networks depend on adaptive algorithms to grasp all kinds of duties, together with most cancers prognosis, object recognition, speech recognition, robotic management, chess, poker, backgammon and Go, at super-human ranges of efficiency. On this richly illustrated ebook, key neural community studying algorithms are defined informally first, adopted by detailed mathematical analyses. Matters embrace each traditionally necessary neural networks (perceptrons, Hopfield nets, Boltzmann machines and backpropagation networks), and trendy deep neural networks (variational autoencoders, convolutional networks, generative adversarial networks, and reinforcement studying utilizing SARSA and Q-learning). On-line laptop applications, collated from open supply repositories, give hands-on expertise of neural networks, and PowerPoint slides present help for instructing. Written in a casual model, with a complete glossary, tutorial appendices (e.g. Bayes’ theorem, most chance estimation), and an inventory of additional readings, this is a perfect introduction to the algorithmic engines of contemporary synthetic intelligence.
Dr James V Stone is an Honorary Affiliate Professor on the College of Sheffield, England.
Writer : Sebtel Press
Publication date : March 28 2019
Version : Illustrated
Language : English
Print size : 216 pages
ISBN-10 : 0956372813
ISBN-13 : 978-0956372819
Merchandise weight : 322 g
Dimensions : 15.24 x 1.24 x 22.86 cm
Finest Sellers Rank: #707,866 in Books (See Prime 100 in Books) #167 in AI Laptop Arithmetic #263 in A.I. Neural Networks #409 in Laptop Science Textbooks
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