Synthetic Data for Deep Learning
Springer International Publishing
Chapter title |
Deep Learning and Optimization
|
---|---|
Book title |
Synthetic Data for Deep Learning
|
Published by |
Springer, Cham, June 2021
|
DOI | 10.1007/978-3-030-75178-4_2 |
Book ISBNs |
978-3-03-075177-7, 978-3-03-075178-4
|
Authors |
Sergey I. Nikolenko |
Country | Count | As % |
---|---|---|
Japan | 1 | 20% |
United States | 1 | 20% |
Unknown | 3 | 60% |
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 27% |
Lecturer | 2 | 18% |
Student > Ph. D. Student | 2 | 18% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 18% |
Business, Management and Accounting | 1 | 9% |
Agricultural and Biological Sciences | 1 | 9% |
Linguistics | 1 | 9% |
Physics and Astronomy | 1 | 9% |
Other | 1 | 9% |
Unknown | 4 | 36% |