登入
選單
返回
Google圖書搜尋
Deep Learning in Science
Pierre Baldi
出版
Cambridge University Press
, 2021-07
主題
Computers / Artificial Intelligence / General
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Computers / Database Administration & Management
Language Arts & Disciplines / Communication Studies
Language Arts & Disciplines / Library & Information Science / General
Mathematics / Discrete Mathematics
Science / General
Technology & Engineering / Remote Sensing & Geographic Information Systems
ISBN
1108845355
9781108845359
URL
http://books.google.com.hk/books?id=Km8yEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.