深度学习Matlab工具箱代码注释——cnnapplygrads.m

%%=========================================================================%函数名称：cnnapplygrads（），权值更新函数%输入参数：net，权值待更新的卷积神经网络；opts，神经网络训练的相关参数%输出参数：%算法流程：先更新卷积层的参数，再更新全连接层参数%注意事项：%%=========================================================================function net = cnnapplygrads(net, opts)for l = 2 : numel(net.layers)    if strcmp(net.layers{l}.type, 'c')        for j = 1 : numel(net.layers{l}.a)            for ii = 1 : numel(net.layers{l - 1}.a)                                %这里没什么好说的，就是普通的权值更新的公式：W_new = W_old - alpha * de/dW（误差对权值导数）                net.layers{l}.k{ii}{j} = net.layers{l}.k{ii}{j} - opts.alpha * net.layers{l}.dk{ii}{j};            end            net.layers{l}.b{j} = net.layers{l}.b{j} - opts.alpha * net.layers{l}.db{j};        end    endendnet.ffW = net.ffW - opts.alpha * net.dffW;net.ffb = net.ffb - opts.alpha * net.dffb;end