URL: https://github.com/vaklip/transfer_learning_ccnn
Proper Citation: transfer_ learning_ ccnn (RRID:SCR_016590)
Description: Software program to implement transfer learning for a connectome convolutional neural network trained to classify functional connectomes using Tensorflow.
Abbreviations: ccnn
Synonyms: connectome convolutional neural network, Connectome Convolutional Neural Network, CCNN
Resource Type: data analysis software, data processing software, software application, software resource
Keywords: transfer, learning, connectome, convolutional, neural, network, functional, connectome, Tensorflow
Availability: Free, Available for download, Freely available
Resource Name: transfer_ learning_ ccnn
Resource ID: SCR_016590
Expand Alluses |
We found {{ ctrl2.mentions.all_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for transfer_ learning_ ccnn.
No alerts have been found for transfer_ learning_ ccnn.
Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400