f48net_old.m

function net = f48net_old()

net.layers = {} ;
net.layers{end+1} = struct('type', 'conv', ...
                           'filters', f*randn(5,5,3,64, 'single'), ...
                           'biases', zeros(1, 64, 'single'), ...
                           'stride', 1, ...
                           'pad', 0) ;
net.layers{end+1} = struct('type', 'relu') ;
net.layers{end+1} = struct('type', 'pool', ...
                           'method', 'max', ...
                           'pool', [3 3], ...
                           'stride', 2, ...
                           'pad', 0) ;
net.layers{end+1} = struct('type', 'relu') ;
net.layers{end+1} = struct('type', 'normalize',...
                           'param',9) ;
net.layers{end+1} = struct('type', 'conv', ...
                           'filters', f*randn(5,5,64,64, 'single'), ...
                           'biases', zeros(1, 64, 'single'), ...
                           'stride', 1, ...
                           'pad', 0) ;
net.layers{end+1} = struct('type', 'relu') ;
net.layers{end+1} = struct('type', 'normalize',...
                           'param',9) ;
net.layers{end+1} = struct('type', 'pool', ...
                           'method', 'max', ...
                           'pool', [3 3], ...
                           'stride', 2, ...
                           'pad', 0) ;
net.layers{end+1} = struct('type', 'custom48', ...
                           'filters', f*randn(1,1,400,2, 'single'), ...%add result
                           'biases', zeros(1, 2, 'single'), ...
                           'stride', 1, ...
                           'pad', 0) ;
net.layers{end+1} = struct('type', 'softmaxloss') ;