Deep Learning in Science

Pierre Baldi

ISBN 10: 1108845355 / ISBN 13: 9781108845359

Published by Cambridge University Press, 2021

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781108845359

Bibliographic Details

• Title: Deep Learning in Science
• Publisher: Cambridge University Press
• Publication Date: 2021
• Language: English
• ISBN 10: 1108845355
• ISBN 13: 9781108845359
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 25D millimeters 250 millimeters width by 175 millimeters height by 25 millimeters depth
• Weight: 844 grams

About this title

Synopsis

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.

About the Author

Pierre Baldi is Distinguished Professor of Computer Science at University of California, Irvine. His main research interest is understanding intelligence in brains and machines. He has made seminal contributions to the theory of deep learning and its applications to the natural sciences, and has written four other books.