Package org.deeplearning4j.nn.conf.layers
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Enum Summary Enum Description Convolution3D.DataFormat An optional dataFormat: "NDHWC" or "NCDHW".ConvolutionLayer.AlgoMode The "PREFER_FASTEST" mode will pick the fastest algorithm for the specified parameters from theConvolutionLayer.FwdAlgo
,ConvolutionLayer.BwdFilterAlgo
, andConvolutionLayer.BwdDataAlgo
lists, but they may be very memory intensive, so if weird errors occur when using cuDNN, please try the "NO_WORKSPACE" mode.ConvolutionLayer.BwdDataAlgo The backward data algorithm to use whenConvolutionLayer.AlgoMode
is set to "USER_SPECIFIED".ConvolutionLayer.BwdFilterAlgo The backward filter algorithm to use whenConvolutionLayer.AlgoMode
is set to "USER_SPECIFIED".ConvolutionLayer.FwdAlgo The forward algorithm to use whenConvolutionLayer.AlgoMode
is set to "USER_SPECIFIED".PoolingType Pooling type:
MAX: Max pooling - output is the maximum value of the input values
AVG: Average pooling - output is the average value of the input values
SUM: Sum pooling - output is the sum of the input values
PNORM: P-norm poolingSpaceToDepthLayer.DataFormat Deprecated. UseCNN2DFormat
insteadSubsampling3DLayer.PoolingType SubsamplingLayer.PoolingType