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Mendeley readers
| Chapter title |
Regularization Techniques
|
|---|---|
| Chapter number | 13 |
| Book title |
Deep Learning with Python
|
| Published by |
Apress, Berkeley, CA, January 2017
|
| DOI | 10.1007/978-1-4842-2766-4_13 |
| Book ISBNs |
978-1-4842-2765-7, 978-1-4842-2766-4
|
| Authors |
Nikhil Ketkar |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 29% |
| Researcher | 5 | 24% |
| Student > Master | 3 | 14% |
| Student > Doctoral Student | 1 | 5% |
| Student > Postgraduate | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 29% |
| Mathematics | 2 | 10% |
| Computer Science | 2 | 10% |
| Physics and Astronomy | 2 | 10% |
| Earth and Planetary Sciences | 2 | 10% |
| Other | 1 | 5% |
| Unknown | 6 | 29% |