MyCaffe
1.12.2.41
Deep learning software for Windows C# programmers.
|
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... | |