Variational Methods for Machine Learning with Applications to Deep Networks
Springer International Publishing
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Timeline
Mendeley readers
| Chapter title |
Variational Autoencoder
|
|---|---|
| Chapter number | 5 |
| Book title |
Variational Methods for Machine Learning with Applications to Deep Networks
|
| Published by |
Springer, Cham, January 2021
|
| DOI | 10.1007/978-3-030-70679-1_5 |
| Book ISBNs |
978-3-03-070678-4, 978-3-03-070679-1
|
| Authors |
Pinheiro Cinelli, Lucas, Araújo Marins, Matheus, Barros da Silva, Eduardo Antúnio, Lima Netto, Sérgio |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 21% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Bachelor | 12 | 13% |
| Researcher | 6 | 7% |
| Other | 4 | 4% |
| Other | 11 | 12% |
| Unknown | 26 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 39 | 43% |
| Engineering | 16 | 18% |
| Chemistry | 3 | 3% |
| Linguistics | 2 | 2% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 26 | 29% |