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MyCaffe
1.12.2.41
Deep learning software for Windows C# programmers.
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Classes | |
| class | CategoricalTransformationParameter |
| Specifies the parameters for the NumericInputTransformationLayer. More... | |
| class | DataTemporalParameter |
| Specifies the parameters for the DataTemporalLayer (used in TFT models). More... | |
| class | GateAddNormParameter |
| Specifies the parameters for the GetAddNormLayer (Gate Add Norm). More... | |
| class | GluParameter |
| Specifies the parameters for the GluLayer (Gated Linear Unit). More... | |
| class | GrnParameter |
| Specifies the parameters for the GrnLayer (Gated Response Network). More... | |
| class | MultiHeadAttentionInterpParameter |
| Specifies the parameters for the MultiHeadAttentionInterpLayer (Interpretable Multi-Head Attention Layer). More... | |
| class | NumericTransformationParameter |
| Specifies the parameters for the NumericInputTransformationLayer. More... | |
| class | QuantileAccuracyParameter |
| Specifies the parameters for the QuantileAccuracyLayer used in TFT models More... | |
| class | QuantileLossParameter |
| Specifies the parameters for the QuantileLossLayer used in TFT models More... | |
| class | ReshapeTemporalParameter |
| Specifies the parameters for the ReshapeTemporalLayer. More... | |
| class | VarSelNetParameter |
| Specifies the parameters for the VarSelNetLayer (Variable Selection Network). More... | |