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Releases: nict-wisdom/bertac

cnn_2.3.4.300

21 Jul 04:16
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cnn_2.3.4.300 Pre-release
Pre-release

A CNN model adversarially pretrained with the following settings:

  • the filter’s window sizes: "2,3,4"
  • the number of filters: 300

cnn_2.3.4.200

21 Jul 04:16
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cnn_2.3.4.200 Pre-release
Pre-release

A CNN model adversarially pretrained with the following settings:

  • the filter’s window sizes: "2,3,4"
  • the number of filters: 200

cnn_2.3.4.100

21 Jul 04:05
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cnn_2.3.4.100 Pre-release
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A CNN model adversarially pretrained with the following settings:

  • the filter’s window sizes: "2,3,4"
  • the number of filters: 100

cnn_1.2.3.4.300

21 Jul 05:21
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cnn_1.2.3.4.300 Pre-release
Pre-release

A CNN model adversarially pretrained with the following settings:

  • the filter’s window sizes: "1,2,3,4"
  • the number of filters: 300

cnn_1.2.3.4.200

21 Jul 05:21
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cnn_1.2.3.4.200 Pre-release
Pre-release

A CNN model adversarially pretrained with the following settings:

  • the filter’s window sizes: "1,2,3,4"
  • the number of filters: 200

cnn_1.2.3.4.100

21 Jul 05:20
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cnn_1.2.3.4.100 Pre-release
Pre-release

A CNN model adversarially pretrained with the following settings:

  • the filter’s window sizes: "1,2,3,4"
  • the number of filters: 100

cnn_1.2.3.300

21 Jul 04:03
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cnn_1.2.3.300 Pre-release
Pre-release

A CNN model adversarially pretrained with the following settings:

  • the filter’s window sizes: "1,2,3"
  • the number of filters: 300

cnn_1.2.3.200

21 Jul 04:03
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cnn_1.2.3.200 Pre-release
Pre-release

A CNN model adversarially pretrained with the following settings:

  • the filter’s window sizes: "1,2,3"
  • the number of filters: 200

cnn_1.2.3.100

21 Jul 02:59
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cnn_1.2.3.100 Pre-release
Pre-release

A CNN model adversarially pretrained with the following settings:

  • the filter’s window sizes: "1,2,3"
  • the number of filters: 100