Variational Methods for Machine Learning with Applications to Deep Networks
Springer International Publishing
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 |
Country | Count | As % |
---|---|---|
Unknown | 91 | 100% |
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% |