| 000 -LEADER |
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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240407b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119408338 |
| Terms of availability |
hbk |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
500.20285 |
| Item number |
PYZ |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pyzer-Knapp, Edward O. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Deep learning for physical scientists : accelerating research with machine learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
John Wiley & Sons, |
| Date of publication, distribution, etc |
2021 |
| Place of publication, distribution, etc |
Hoboken : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii,196 p. ; |
| Other physical details |
ill., |
| Dimensions |
23 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
71.95 |
| Price type code |
$ |
| Unit of pricing |
86.30 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Deep Learning for Physical Scientists: Accelerating Research with Machine Learning delivers an insightful analysis of the transformative techniques being used in deep learning within the physical sciences. The book offers readers the ability to understand, select, and apply the best deep learning techniques for their individual research problem and interpret the outcome. Designed to teach researchers to think in useful new ways about how to achieve results in their research, the book provides scientists with new avenues to attack problems and avoid common pitfalls and problems. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Algorithm |
|
|---|
| Topical term or geographic name as entry element |
Auto-encoder |
|
|---|
| Topical term or geographic name as entry element |
Convolutional |
|
|---|
| Topical term or geographic name as entry element |
Apprentissage automatique |
|
|---|
| Topical term or geographic name as entry element |
Machine learning |
|
|---|
| Topical term or geographic name as entry element |
Data processing |
|
|---|
| Topical term or geographic name as entry element |
Physical sciences |
|
|---|
| Topical term or geographic name as entry element |
Physical sciences; |
|
|---|
| Topical term or geographic name as entry element |
Algorithm |
|
|---|
| Topical term or geographic name as entry element |
Auto-encoder |
|
|---|
| Topical term or geographic name as entry element |
Apprentissage automatique |
|
|---|
| Topical term or geographic name as entry element |
Machine learning |
|
|---|
| Topical term or geographic name as entry element |
Data processing |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Benatan, Matthew |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |