代码搜索：Gradients

找到约 319 项符合「Gradients」的源代码

代码结果 319
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www.eeworm.com/read/466808/7020994

m colorgrad.m

function [VG, A, PPG]= colorgrad(f, T) %COLORGRAD Computes the vector gradient of an RGB image. % [VG, VA, PPG] = COLORGRAD(F, T) computes the vector gradient, VG, % and corresponding angle arr
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www.eeworm.com/read/143706/12849686

m mlpbkp.m

function g = mlpbkp(net, x, z, deltas) %MLPBKP Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET % togeth
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www.eeworm.com/read/140851/13059048

m mlpbkp.m

function g = mlpbkp(net, x, z, deltas) %MLPBKP Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET % t
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www.eeworm.com/read/326135/13163321

m colorgrad.m

function [VG, A, PPG]= colorgrad(f, T) %COLORGRAD Computes the vector gradient of an RGB image. % [VG, VA, PPG] = COLORGRAD(F, T) computes the vector gradient, VG, % and corresponding angle arr
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www.eeworm.com/read/138798/13212089

m mlpbkp.m

function g = mlpbkp(net, x, z, deltas) %MLPBKP Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET % t
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www.eeworm.com/read/485544/6552695

m mlpbkp.m

function g = mlpbkp(net, x, z, deltas) %MLPBKP Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET % togeth
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www.eeworm.com/read/253950/12173461

m mlpbkp.m

function g = mlpbkp(net, x, z, deltas) %MLPBKP Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET % togeth
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www.eeworm.com/read/339665/12211395

m mlpbkp.m

function g = mlpbkp(net, x, z, deltas) %MLPBKP Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET % togeth
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www.eeworm.com/read/150905/12250405

m mlpbkp.m

function g = mlpbkp(net, x, z, deltas) %MLPBKP Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET % togeth
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www.eeworm.com/read/220289/14843784

m mlpbkp.m

function g = mlpbkp(net, x, z, deltas) %MLPBKP Backpropagate gradient of error function for 2-layer network. % % Description % G = MLPBKP(NET, X, Z, DELTAS) takes a network data structure NET % togeth
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