vgg-16网络结构 matlab程序

最新推荐文章于 2025-06-12 15:28:56 发布

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最新推荐文章于 2025-06-12 15:28:56 发布 · 4.4k 阅读

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#matlab #vgg-16 #网络结构

本文档展示了如何在MATLAB中构建VGG-16网络结构，包括添加ReLU激活函数和池化层。

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lr = [.1 2] ;
net.layers = {} ;
% cbr1
net.layers{end+1} = struct('type', 'conv', ...
'weights', { {0.01*randn(3,3,3,64, 'single'), zeros(1, 64, 'single')}}, ...
'learningRate', lr, ...
'stride', 1, ...
'pad', 1) ;
net.layers{end+1} = struct('type', 'bnorm', ...
'weights', { {ones(64,1, 'single'), zeros(1, 64, 'single')}}, ...
'learningRate', [.1 .1 1], ...
'weightDecay', [0 0]) ;
net.layers{end+1} = struct('type', 'relu') ;
% cbr2
net.layers{end+1} = struct('type', 'conv', ...
'weights', { {0.01*randn(3,3,64,64, 'single'), zeros(1, 64, 'single')}}, ...
'learningRate', lr, ...
'stride', 1, ...
'pad', 1) ;
net.layers{end+1} = struct('type', 'bnorm', ...
'weights', { {ones(64,1, 'single'), zeros(1, 64, 'single')}}, ...
'learningRate', [.1 .1 1], ...
'weightDecay', [0 0]) ;
net.layers{end+1} = struct('type', 'relu') ;

net.layers{end+1} = struct('type', 'pool', ...
'method', 'max', ...
'pool', [2 2], ...
'stride', 2, ...
'pad', 0) ;
% cbr3
net.layers{end+1} = struct('type', 'conv', ...
'weights', { {0.05*randn(3,3,64,128, 'single'), zeros(1,128,'single')}}, ...
'learningRate', lr, ...
'stride', 1, ...
'pad', 1) ;
net.layers{end+1} = struct('type', 'bnorm', ...
'weights', { {ones(128,1, 'single'), zeros(1, 128, 'single')}}, ...
'learningRate', [.1 .1 1], ...
'we