Deep Learning in Science

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.

ISBN:	9781108845359
Publisher:	Cambridge University Press
Imprint:	Cambridge University Press
Published date:	01 Jul 2021
DEWEY:	006.31
DEWEY edition:	23
Language:	English
Number of pages:	xiv, 371
Weight:	912g
Height:	177mm
Width:	251mm
Spine width:	24mm

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