The MyCaffe.param namespace contains parameters used to create models. More...

Namespaces
namespace	beta
	The MyCaffe.param.beta parameters are used by the MyCaffe.layer.beta layers.

namespace	nt
	The MyCaffe.param.nt namespace defines the parameters used by the Nerual Style Transfer layers.

namespace	ssd
	The MyCaffe.param.ssd namespace contains all SSD related parameter objects that correspond to the native C++ Caffe prototxt file.

Classes
class	AccuracyParameter
	Specifies the parameters for the AccuracyLayer. More...

class	ArgMaxParameter
	Specifies the parameters for the ArgMaxLayer More...

class	AttentionParameter
	[/b DEPRECIATED, use MultiHeadAttention layers instead.] Specifies the parameters for the AttentionLayer. More...

class	BatchNormParameter
	Specifies the parameters for the BatchNormLayer. More...

class	BiasParameter
	Specifies the parameters for the BiasLayer More...

class	BlobProto
	The BlobProto contains the descripion of a blob. More...

class	BlobProtoCollection
	Specifies a collection of BlobProtos. More...

class	BlobShape
	Specifies the shape of a Blob. More...

class	ClipParameter
	Stores the parameters used by the ClipLayer More...

class	ConcatParameter
	Specifies the parameters for the ConcatLayer More...

class	ConstantParameter
	Specifies the parameters for the ConstantLayer. More...

class	ContrastiveLossParameter
	Specifies the parameters for the ContrastiveLossLayer. More...

class	ConvolutionOctaveParameter
	Specifies the parameters for the ConvolutionOctaveLayer. More...

class	ConvolutionParameter
	Specifies the parameters for the ConvolutionLayer. The default weight filler is set to the XavierFiller, and the default bias filler is set to ConstantFiller with a value of 0.1. More...

class	CropParameter
	Specifies the parameters for the MyCaffe.CropLayer. More...

class	DataDebugParameter
	The DataDebugParameter is used by the DataParameter when the 'enable_debugging' = True. More...

class	DataLabelMappingParameter
	Specifies the parameters for the DataLabelMappingParameter used to map labels by the DataTransformer.TransformLabel when active. More...

class	DataNoiseParameter
	The DataNoiseParameter is used by the DataParameter when the 'enable_noise_for_nonmatch' = True, which is used when 'images_per_blob' > 1. More...

class	DataNormalizerParameter
	Specifies the parameter for the data normalizer layer. More...

class	DataParameter
	Specifies the parameter for the data layer. More...

class	DebugParameter
	Specifies the parameters used by the DebugLayer More...

class	DropoutParameter
	Specifies the parameters of the DropoutLayer. More...

class	DummyDataParameter
	This layer produces N >= 1 top blobs. DummyDataParameter must specify 1 or shape fields, and 0, 1 or N data fillers. This layer is initialized with the ReLUParameter. More...

class	EltwiseParameter
	Specifies the parameters for the EltwiseLayer. More...

class	EluParameter
	Specifies the parameters for the EluLayer. More...

class	EmbedParameter
	Specifies the parameters used by the EmbedLayer. More...

class	EngineParameter
	Specifies whether to use the NVIDIA cuDnn version or Caffe version of a given forward/backward operation. More...

class	ExpParameter
	Specifies the parameters for the ExpLayer. More...

class	FillerParameter
	Specifies the filler parameters used to create each Filler. More...

class	FlattenParameter
	Specifies the parameters for the FlattenLayer. More...

class	GradientScaleParameter
	Specifies the parameters for the GradientScaleLayer. More...

class	HDF5DataParameter
	Specifies the parameter for the HDF5 data layer. More...

class	HingeLossParameter
	Specifies the parameters for the HingLossLayer. More...

class	ImageDataParameter
	Specifies the parameters for the ImageDataLayer More...

class	InfogainLossParameter
	Specifies the parameters for the InfogainLossLayer. More...

class	InnerProductParameter
	Specifies the parameters for the InnerProductLayer. More...

class	InputParameter
	Specifies the parameters for the InputLayer. More...

class	InterpParameter
	Specifies the parameters for the InterpLayer. More...

class	KernelParameter
	Specifies the basic kernel parameters (used by convolution and pooling) More...

class	LabelMappingParameter
	/b DEPRECIATED (use DataLayer DataLabelMappingParameter instead) Specifies the parameters for the LabelMappingLayer. More...

class	LayerParameter
	Specifies the base parameter for all layers. More...

class	LayerParameterBase
	The LayerParameterBase is the base class for all other layer specific parameters. More...

class	LogParameter
	Specifies the parameters for the LogLayer. More...

class	LossParameter
	Stores the parameters used by loss layers. More...

class	LRNParameter
	Specifies the parameter for the LRNLayer. More...

class	LSTMAttentionParameter
	Specifies the parameters for the LSTMAttentionLayer that provides an attention based LSTM layer used for decoding in an encoder/decoder based model. More...

class	LSTMSimpleParameter
	[DEPRECIATED - use LSTMAttentionParameter instead with enable_attention = false] Specifies the parameters for the LSTMSimpleLayer. More...

class	MaskParameter
	Specifies the parameters for the MaskParameter used to mask portions of the transformed data when active. More...

class	MathParameter
	Specifies the parameters for the MathLayer. More...

class	MeanErrorLossParameter
	Specifies the parameters for the MeanErrorLossLayerParameter. More...

class	MemoryDataParameter
	Specifies the parameters used by the MemoryDataLayer. More...

class	ModelDataParameter
	Specifies the parameter for the model data layer. More...

class	MVNParameter
	Specifies the parameters for the MVNLayer. More...

class	NetParameter
	Specifies the parameters use to create a Net More...

class	NetState
	Specifies the NetState which includes the phase, level and stage for which a given Net is to run under. More...

class	NetStateRule
	Specifies a NetStateRule used to determine whether a Net falls within a given include or exclude pattern. More...

class	OptionalParameter
	The OptionalParameter is the base class for parameters that are optional such as the MaskParameter, DistorationParameter, ExpansionParameter, NoiseParameter, and ResizeParameter. More...

class	ParameterParameter
	Specifies the parameters for the ParameterLayer More...

class	ParamSpec
	Specifies training parameters (multipliers on global learning constants, and the name of other settings used for weight sharing). More...

class	PoolingParameter
	Specifies the parameters for the PoolingLayer. More...

class	PowerParameter
	Specifies the parameters for the PowerLayer. More...

class	PReLUParameter
	Specifies the parameters for the PReLULayer. More...

class	RecurrentParameter
	Specifies the parameters used by the RecurrentLayer. More...

class	ReductionParameter
	Specifies the parameters used by ReductionLayer. More...

class	ReLUParameter
	Specifies the parameters for the ReLULayer More...

class	ReshapeParameter
	Specifies the parameters for the ReshapeLayer. More...

class	ScaleParameter
	Specifies the parameters for the ScaleLayer. More...

class	SigmoidParameter
	Specifies the parameters for the SigmoidLayer. More...

class	SliceParameter
	Specifies the parameters for the SliceLayer. More...

class	SoftmaxParameter
	Specifies the parameters for the SoftmaxLayer More...

class	SolverParameter
	The SolverParameter is a parameter for the solver, specifying the train and test networks. More...

class	SolverState
	The SolverState specifies the state of a given solver. More...

class	SPPParameter
	The SPPParameter specifies the parameters for the SPPLayer. More...

class	SwishParameter
	Stores the parameters used by the SwishLayer More...

class	TanhParameter
	Specifies the parameters for the TanhLayer More...

class	TextDataParameter
	Specifies the parameter for the Text data layer. More...

class	ThresholdParameter
	Stores the parameters used by the ThresholdLayer More...

class	TileParameter
	Specifies the parameters used by the TileLayer More...

class	TransformationParameter
	Stores parameters used to apply transformation to the data layer's data. More...

class	VerifyBatchSizeArgs
	The VerifyBatchSizeArgs class defines the arguments of the OnVerifyBatchSize event. More...

Detailed Description

The MyCaffe.param namespace contains parameters used to create models.

Namespaces

Classes

Detailed Description