How to use learning functions of neural network toolbox ?

1 次查看(过去 30 天)
Is it possible to find the weight matrix dW with limited input parameters ?
for example,
in using learnh ( hebb learning function ),
dW = learnh(W,P,[],[],[],T,[],[],[],[],LP,[])
W = [ 0 0 ]; P= [ 2 2 ; 3 3]; T = [ 1 1 ];
Why am I not getting dW ? Is it mandatory to have all the parameters or is it enough to have some parameters alone ?
Please help.
Thank you for your future reply and future time.

采纳的回答

Greg Heath
Greg Heath 2014-5-1
According to both
help learnh
and
doc learnh
dW = learnh([],P,[],[],A,[],[],[],[],[],LP,[])
calculates
dW = LP.lr*A*P'
Go back and read the help and doc documentation.
Hope this helps.
Thank you for formally acceptingmy answer
Greg

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Deep Learning Toolbox 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by