Variational Methods for Machine Learning with Applications to Deep Networks
Springer International Publishing
Chapter title |
Bayesian Neural Networks
|
---|---|
Chapter number | 4 |
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_4 |
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 | 7 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 29% |
Student > Master | 2 | 29% |
Professor > Associate Professor | 1 | 14% |
Librarian | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 29% |
Computer Science | 2 | 29% |
Agricultural and Biological Sciences | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 1 | 14% |