Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Satsuki Nagae"'
Publikováno v:
Neurocomputing. 469:151-162
The performance of transfer learning in convolutional neural networks depends on the selection of which layer to update and fix. Because the number of layers is increasing, it is becoming increasingly difficult for humans to select layers. Therefore,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98cfc652f618a1b5923d70dd704d0929
https://doi.org/10.1016/j.neucom.2021.10.051
https://doi.org/10.1016/j.neucom.2021.10.051
Publikováno v:
CEC
The performance of transfer learning in convolutional neural networks depends on the selection of which layers are to be learned again and which are not. Generally, layers selection is performed manually; however, as the number of layers increases, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3109fbd002e6c8324174d2050ef1da70
https://doi.org/10.1109/cec48606.2020.9185501
https://doi.org/10.1109/cec48606.2020.9185501
Autor:
Potorti, Francesco, Torres-Sospedra, Joaquin, Quezada-Gaibor, Darwin, Jimenez, Antonio Ramon, Seco, Fernando, Perez-Navarro, Antoni, Ortiz, Miguel, Zhu, Ni, Renaudin, Valerie, Ichikari, Ryosuke, Shimomura, Ryo, Ohta, Nozomu, Nagae, Satsuki, Kurata, Takeshi, Wei, Dongyan, Ji, Xinchun, Zhang, Wenchao, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher
Publikováno v:
IEEE Sensors Journal; 3/15/2022, Vol. 22 Issue 6, p5011-5054, 44p