Convolution Methods
The Convolution type exposes the following members.
Methods
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AvgPool1D |
Average pooling operation for spatial data.
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AvgPool2D |
Average pooling operation for spatial data.
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AvgPool3D |
Average pooling operation for 3D data (spatial or spatio-temporal).
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Conv1D(Variable, Int32, Int32, Int32, Boolean, Int32, String, Boolean, String, String) |
1D convolution layer (e.g. temporal convolution). This layer creates a convolution kernel that is convolved with the layer input over a single spatial (or temporal) dimension to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.
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Conv1D(Tuple<(Of <<'(Int32, Int32>)>>), Int32, Int32, Int32, Boolean, Int32, String, Boolean, String, String) |
1D convolution layer (e.g. temporal convolution). This layer creates a convolution kernel that is convolved with the layer input over a single spatial (or temporal) dimension to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.
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Conv2D(Variable, Int32, Tuple<(Of <<'(Int32, Int32>)>>), Tuple<(Of <<'(Int32, Int32>)>>), Boolean, Tuple<(Of <<'(Int32, Int32>)>>), String, Boolean, String, String) |
2D convolution layer (e.g. spatial convolution over images). This layer creates a convolution kernel that is convolved with the layer input to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.
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Conv2D(Tuple<(Of <<'(Int32, Int32, Int32>)>>), Int32, Tuple<(Of <<'(Int32, Int32>)>>), Tuple<(Of <<'(Int32, Int32>)>>), Boolean, Tuple<(Of <<'(Int32, Int32>)>>), String, Boolean, String, String) |
Conv2s the d.2D convolution layer (e.g. spatial convolution over images). This layer creates a convolution kernel that is convolved with the layer input to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.
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Conv3D(Variable, Int32, Tuple<(Of <<'(Int32, Int32, Int32>)>>), Tuple<(Of <<'(Int32, Int32, Int32>)>>), Boolean, Tuple<(Of <<'(Int32, Int32, Int32>)>>), String, Boolean, String, String) |
3D convolution layer (e.g. spatial convolution over volumes). This layer creates a convolution kernel that is convolved with the layer input to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.
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Conv3D(Tuple<(Of <<'(Int32, Int32, Int32, Int32>)>>), Int32, Tuple<(Of <<'(Int32, Int32, Int32>)>>), Tuple<(Of <<'(Int32, Int32, Int32>)>>), Boolean, Tuple<(Of <<'(Int32, Int32, Int32>)>>), String, Boolean, String, String) |
3D convolution layer (e.g. spatial convolution over volumes). This layer creates a convolution kernel that is convolved with the layer input to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.
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Equals(System.Object) | (Inherited from Object.) |
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Finalize | (Inherited from Object.) |
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GetHashCode | (Inherited from Object.) |
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GetType | (Inherited from Object.) |
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GlobalAvgPool1D |
Global average pooling operation for temporal data.
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GlobalAvgPool2D |
Global average pooling operation for spatial data.
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GlobalAvgPool3D |
Global average pooling 3D data (spatial or spatio-temporal).
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GlobalMaxPool1D |
Global max pooling operation for temporal data.
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GlobalMaxPool2D |
Global max pooling operation for spatial data.
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GlobalMaxPool3D |
Global max pooling 3D data (spatial or spatio-temporal).
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MaxPool1D |
Max pooling operation for temporal data.
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MaxPool2D |
Max pooling operation for spatial data.
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MaxPool3D |
Max pooling operation for 3D data (spatial or spatio-temporal).
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MemberwiseClone | (Inherited from Object.) |
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ToString | (Inherited from Object.) |