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

Classes
class	DataSequenceParameter
	Specifies the parameters for the DataSequenceLayer. More...

class	DecodeParameter
	Specifies the parameters for the DecodeLayer and the AccuracyEncodingLayer. More...

class	GatherParameter
	Specifies the parameters for the GatherLayer. More...

class	KnnParameter
	Specifies the parameters for the KnnLayer. More...

class	MergeParameter
	Specifies the parameters for the MergeLayer. More...

class	MishParameter
	Stores the parameters used by the MishLayer More...

class	Normalization1Parameter
	Specifies the parameters for the Normalization1Layer. More...

class	SerfParameter
	Stores the parameters used by the SerfLayer More...

class	SqueezeParameter
	Specifies the parameters for the SqueezeLayer. More...

class	TransposeParameter
	Specifies the parameters for the TransposeLayer. More...

class	TripletLossParameter
	Specifies the parameters for the TripletLossLayer. More...

class	UnPoolingParameter
	Specifies the parameters for the UnPoolingLayer. More...

Detailed Description

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

Using parameters within the MyCaffe.layer.beta namespace are used by layers that require the MyCaffe.layers.beta.dll.

Centroids:

See also: A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids by Qiuyu Zhu, Pengju Zhang, and Xin Ye, arXiv:1904.06008, 2019.

KNN:

See also: Constellation Loss: Improving the efficiency of deep metric learning loss functions for optimal embedding by Alfonso Medela and Artzai Picon, arXiv:1905.10675, 2019

Classes