MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03163nam a22004218a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
WSP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20260416153409.0 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789811237461 |
| -- |
(ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9811237468 |
| -- |
(ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9789811237454 |
| -- |
(hbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
981123745X |
| -- |
(hbk.) |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
SCI |
| Subject category code subdivision |
040000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
COM |
| Subject category code subdivision |
094000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
SCI |
| Subject category code subdivision |
077000 |
| Source |
bisacsh |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
530.0285 |
| Edition number |
23 |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Erdmann, Martin, |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Deep learning for physics research / |
| Statement of responsibility, etc |
Martin Erdmann, RWTH Aachen University, Germany, Jonas Glombitza, RWTH Aachen University, Germany, Gregor Kasieczka, University of Hamburg, Germany, Uwe Klemradt, RWTH Aachen University, Germany. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Singapore : |
| Name of publisher, distributor, etc |
World Scientific, |
| Date of publication, distribution, etc |
[2021] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (340 p.). |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Contents |
Deep learning basics. Scope of this textbook -- Models for data analysis -- Building blocks of neural networks -- Optimization of network parameters -- Mastering model building -- Standard architectures of deep networks. Revisiting the terminology -- Fully-connected networks: improving the classic all-rounder -- Convolutional neural networks and analysis of image-like data -- Recurrent neural networks: time series and variable input -- Graph networks and convolutions beyond Euclidean domains -- Multi-task learning, hybrid architectures, and operational reality -- Introspection, uncertainties, objectives. Interpretability -- Uncertainties and robustness -- Revisiting objective functions -- Deep learning advanced concepts. Beyond supervised learning -- Weakly-supervised classification -- Autoencoders: finding and compressing structures in data -- Generative models: data from noise -- Domain adaptation, refinement, unfolding -- Model independent detection of outliers and anomalies -- Beyond the scope of this textbook. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research. This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded."-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Physics |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Physics |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://www.worldscientific.com/worldscibooks/10.1142/12294#t=toc">https://www.worldscientific.com/worldscibooks/10.1142/12294#t=toc</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Electronic Books |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Dates associated with a name |
1960 February 6- |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| -- |
Provided by publisher. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
System requirements: Adobe Acrobat reader. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| General subdivision |
Research. |
| 655 #0 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
