matlab_version/face_validation/initializeFaceCNN.m

function net = initializeFaceCNN_simple_5(num_bins)

f=1/100 ;
net.layers = {} ;
net.layers{end+1} = struct('type', 'conv', ...
                           'weights', {{f*randn(9,9,1,10, 'single'), zeros(1, 10, 'single')}}, ...
                           'stride', 1, ...
                           'pad', 0) ;                       
net.layers{end+1} = struct('type', 'relu') ;       
net.layers{end+1} = struct('type', 'pool', ...
                           'method', 'max', ...
                           'pool', [2 2], ...
                           'stride', 2, ...
                           'pad', 0) ;
net.layers{end+1} = struct('type', 'conv', ...
                           'weights', {{f*randn(7,7,10,10, 'single'), zeros(1,10,'single')}}, ...
                           'stride', 1, ...
                           'pad', 0) ;
net.layers{end+1} = struct('type', 'relu') ;       
net.layers{end+1} = struct('type', 'pool', ...
                           'method', 'max', ...
                           'pool', [2 2], ...
                           'stride', 2, ...
                           'pad', 0) ;               
% This is basically an FC layer
net.layers{end+1} = struct('type', 'conv', ...
                           'weights', {{f*randn(10,10,10,50, 'single'), zeros(1,50,'single')}}, ...
                           'stride', 1, ...
                           'pad', 0) ;
net.layers{end+1} = struct('type', 'relu') ;       
net.layers{end+1} = struct('type', 'conv', ...
                           'weights', {{f*randn(1,1,50,num_bins, 'single'), zeros(1,num_bins,'single')}}, ...
                           'stride', 1, ...
                           'pad', 0) ;   
net.layers{end+1} = struct('type', 'softmaxloss') ;

net = vl_simplenn_tidy(net) ;