التفاصيل البيبلوغرافية
| العنوان: |
Transformer Network model architecture [35]. |
| المؤلفون: |
Gilberto Nerino de Souza Jr, Alícia Graziella Balbino Mendes, Joaquim dos Santos Costa, Mikeias dos Santos Oliveira, Paulo Victor Cunha Lima, Vitor Nunes de Moraes, David Costa Correia Silva, Jonas Elias Castro da Rocha, Marcel do Nascimento Botelho, Fabricio Almeida Araujo, Rafael da Silva Fernandes, Daniel Leal Souza, Marcus de Barros Braga |
| سنة النشر: |
2023 |
| مصطلحات موضوعية: |
Medicine, Sociology, Science Policy, Infectious Diseases, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, rapidly changing environment, identify ideal hyperparameters, deep learning models, allows health managers, time series related, modeling time series, deep learning framework, arima statistical model, present study presents, div >< p, generated projections showed, deaths published daily, cases published daily, first time, daily vaccination, making projections, framework capable, best model, generated predictions, generated forecasts, volatile fluctuations, valuable practice, term smoothing |
| الوصف: |
The main components are described as follows [ 34 , 35 ]: Encoder block (A), a set of mechanisms organized in a stack of N identical layers, each of them containing two sub-layers. These are constituted of a series of multi-head self-attention mechanisms (B) with scale-dot product attention (C), as well as a simple, position-wise fully connected feed-forward neural network (D). Like the encoder, the decoder block (E) is also composed of a stack of N identical layers. In addition to the two sub-layers in each encoder layer, the decoder inserts a third sub-layer, which performs multi-head attention over the output of the encoder stack. |
| نوع الوثيقة: |
still image |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/figure/Transformer_Network_model_architecture_35_/24584030 |
| DOI: |
10.1371/journal.pone.0291138.g005 |
| الاتاحة: |
https://doi.org/10.1371/journal.pone.0291138.g005
https://figshare.com/articles/figure/Transformer_Network_model_architecture_35_/24584030 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.B8789B12 |
| قاعدة البيانات: |
BASE |