Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"The transition module: a method for preventing overfitting in ..."

Shazia Akbar et al. (2019)

> Home

Details and statistics

DOI: 10.1080/21681163.2018.1427148

access: closed

type: Journal Article

metadata version: 2022-06-13

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cmbbeiv/AkbarPSNM19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cmbbeiv/AkbarPSNM19
Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
The transition module: a method for preventing overfitting in convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 260-265 (2019)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.