OpenML
torch.nn.modules.container.SequentialdyTiAVuusN(0=torch.nn.modules.normalization.LayerNormOMHUPuXIlu,1=torch.nn.modules.linear.LineartgTnTDRFOy,2=torch.nn.modules.activation.ReLUtjynvOlnsN,3=torch.nn.modules.dropout.DropoutzJtfPGQHNN,4=torch.nn.modules.linear.LinearQjgArJPNtA,5=torch.nn.modules.activation.SoftmaxHDRtKJlSHu)

torch.nn.modules.container.SequentialdyTiAVuusN(0=torch.nn.modules.normalization.LayerNormOMHUPuXIlu,1=torch.nn.modules.linear.LineartgTnTDRFOy,2=torch.nn.modules.activation.ReLUtjynvOlnsN,3=torch.nn.modules.dropout.DropoutzJtfPGQHNN,4=torch.nn.modules.linear.LinearQjgArJPNtA,5=torch.nn.modules.activation.SoftmaxHDRtKJlSHu)

Visibility: public Uploaded 15-05-2019 by Hidden torch==1.0.1 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python pytorch torch_1.0.1
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Automatically created pytorch flow.

Components

0torch.nn.modules.normalization.LayerNormOMHUPuXIlu(1)
1torch.nn.modules.linear.LineartgTnTDRFOy(1)
2torch.nn.modules.activation.ReLUtjynvOlnsN(1)
3torch.nn.modules.dropout.DropoutzJtfPGQHNN(1)
4torch.nn.modules.linear.LinearQjgArJPNtA(1)
5torch.nn.modules.activation.SoftmaxHDRtKJlSHu(1)

Parameters

0default: {"oml-python:serialized_object": "component_reference", "value": {"key": "0", "step_name": null}}
1default: {"oml-python:serialized_object": "component_reference", "value": {"key": "1", "step_name": null}}
2default: {"oml-python:serialized_object": "component_reference", "value": {"key": "2", "step_name": null}}
3default: {"oml-python:serialized_object": "component_reference", "value": {"key": "3", "step_name": null}}
4default: {"oml-python:serialized_object": "component_reference", "value": {"key": "4", "step_name": null}}
5default: {"oml-python:serialized_object": "component_reference", "value": {"key": "5", "step_name": null}}

0
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