Synthetic Data for Deep Learning
Springer International Publishing
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Chapter title |
The Early Days of Synthetic Data
|
|---|---|
| Chapter number | 5 |
| Book title |
Synthetic Data for Deep Learning
|
| Published by |
Springer, Cham, June 2021
|
| DOI | 10.1007/978-3-030-75178-4_5 |
| Book ISBNs |
978-3-03-075177-7, 978-3-03-075178-4
|
| Authors |
Sergey I. Nikolenko, Nikolenko, Sergey I. |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 50% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 25% |
| Agricultural and Biological Sciences | 1 | 25% |
| Unknown | 2 | 50% |