代码搜索:corresponding

找到约 4,250 项符合「corresponding」的源代码

代码结果 4,250
www.eeworm.com/read/253950/12173487

m netunpak.m

function net = netunpak(net, w) %NETUNPAK Separates weights vector into weight and bias matrices. % % Description % NET = NETUNPAK(NET, W) takes an net network data structure NET and a % weight vect
www.eeworm.com/read/253950/12174116

htm netunpak.htm

Netlab Reference Manual netunpak netunpak Purpose Separates weights vector into weight and bias matrices. Synopsis
www.eeworm.com/read/253950/12174220

m mlpprior.m

function prior = mlpprior(nin, nhidden, nout, aw1, ab1, aw2, ab2) %MLPPRIOR Create Gaussian prior for mlp. % % Description % PRIOR = MLPPRIOR(NIN, NHIDDEN, NOUT, AW1, AB1, AW2, AB2) generates a % dat
www.eeworm.com/read/151561/12200858

m cplxcomp.m

function I=cplxcomp(p1,p2) % I=cplxcomp(p1,p2) % Compares two complex pairs which contain the same scale elements % but(possibly)at different indices.This routine should be % used after CPLXPAIR
www.eeworm.com/read/339665/12211259

m netinit.m

function net = netinit(net, prior) %NETINIT Initialise the weights in a network. % % Description % % NET = NETINIT(NET, PRIOR) takes a network data structure NET and sets % the weights and biases by s
www.eeworm.com/read/339665/12211445

m netunpak.m

function net = netunpak(net, w) %NETUNPAK Separates weights vector into weight and bias matrices. % % Description % NET = NETUNPAK(NET, W) takes an net network data structure NET and a % weight vect
www.eeworm.com/read/339665/12211886

m mlpprior.m

function prior = mlpprior(nin, nhidden, nout, aw1, ab1, aw2, ab2) %MLPPRIOR Create Gaussian prior for mlp. % % Description % PRIOR = MLPPRIOR(NIN, NHIDDEN, NOUT, AW1, AB1, AW2, AB2) generates a % dat
www.eeworm.com/read/150905/12249911

m netinit.m

function net = netinit(net, prior) %NETINIT Initialise the weights in a network. % % Description % % NET = NETINIT(NET, PRIOR) takes a network data structure NET and sets % the weights and biases by s
www.eeworm.com/read/150905/12250290

htm netunpak.htm

Netlab Reference Manual netunpak netunpak Purpose Separates weights vector into weight and bias matrices. Synopsis
www.eeworm.com/read/150905/12250428

m netunpak.m

function net = netunpak(net, w) %NETUNPAK Separates weights vector into weight and bias matrices. % % Description % NET = NETUNPAK(NET, W) takes an net network data structure NET and a % weight vect