Publisher: Cambridge University Press (Virtual Publishing)
Genre: book
ISBN: 9781108955652
Pages: 240
Description
This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and building it up, this is essential reading for any scientists, instructors, and students interested in artificial intelligence and deep learning. It provides guidance on how to think about scientific questions, and leads readers through the history of the field and its fundamental connections to neuroscience. The author discusses many applications to beautiful problems in the natural sciences, in physics, chemistry, and biomedicine. Examples include the search for exotic particles and dark matter in experimental physics, the prediction of molecular properties and reaction outcomes in chemistry, and the prediction of protein structures and the diagnostic analysis of biomedical images in the natural sciences. The text is accompanied by a full set of exercises at different difficulty levels and encourages out-of-the-box thinking.
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Specifications
Additional Features
Key Features
best book
Dimensions
Height
7
Weight
0.111
Book Details
Title
Deep Learning in Science
Imprint
Cambridge University Press (Virtual Publishing)
Product Form
Electronic book text
Publisher
Cambridge University Press (Virtual Publishing)
Genre
book
ISBN13
9781108955652
Book Category
Higher Education and Professional Books
BISAC Subject Heading
COM094000
Book Subcategory
Computing and Information Technology Books
Language
English
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