資源簡介
MATLAB 工具包 DEEP LEARNING TOOLBOX (一)
Deep Learning Toolbox 提供了一個用于通過算法、預(yù)訓(xùn)練模型和應(yīng)用程序來設(shè)計和實現(xiàn)深度神經(jīng)網(wǎng)絡(luò)的框架。我們可以使用卷積神經(jīng)網(wǎng)絡(luò)(ConvNet、CNN)和長短期記憶 (LSTM) 網(wǎng)絡(luò)對圖像、時序和文本數(shù)據(jù)執(zhí)行分類和回歸。
Deep Learning Toolbox 提供了一個用于通過算法、預(yù)訓(xùn)練模型和應(yīng)用程序來設(shè)計和實現(xiàn)深度神經(jīng)網(wǎng)絡(luò)的框架。我們可以使用卷積神經(jīng)網(wǎng)絡(luò)(ConvNet、CNN)和長短期記憶 (LSTM) 網(wǎng)絡(luò)對圖像、時序和文本數(shù)據(jù)執(zhí)行分類和回歸。
代碼片段和文件信息
classdef?ResNet50PackageInfo?se
????%ResNet50?support?package?support?for?MATLAB?Compiler.
????
????%???Copyright?2017-2018?The?MathWorks?Inc.
????
????methods
????????function?obj?=?ResNet50PackageInfo()
????????????obj.baseProduct?=?‘Deep?Learning?Toolbox‘;
????????????obj.displayName?=?‘Deep?Learning?Toolbox?Model?for?ResNet-50?Network‘;
????????????obj.name????????=?‘Deep?Learning?Toolbox?Model?for?ResNet-50?Network‘;
????????????
????????????sproot?=?matlabshared.supportpkg.getSupportPackageRoot();
????????????
????????????%?Define?all?the?data?that?should?be?deployed?from?the?support
????????????%?package.?This?includes?the?actual?language?data?which?will
????????????%?be?archived?in?the?CTF.
????????????obj.mandatoryIncludeList?=?{...
????????????????fullfile(sproot?‘toolbox‘‘nnet‘‘supportpackages‘‘resnet50‘‘+nnet‘)?...
????????????????fullfile(sproot?‘toolbox‘‘nnet‘‘supportpackages‘‘resnet50‘‘resnet50.rights‘)?...
????????????????fullfile(sproot?‘toolbox‘‘nnet‘‘supportpackages‘‘resnet50‘‘license_addendum‘)?...
????????????????fullfile(sproot?‘toolbox‘‘nnet‘‘supportpackages‘‘resnet50‘‘data‘‘resnet50.mat‘)?};
????????????
????????????%?Specify?that?the?resnet50.mat?data?file?should?only?be
????????????%?suggested?in?the?deploy?app?if?the?resnet50.m?file?is?used?in
????????????%?the?application?code.?Otherwise?there?is?no?need?to?mention
????????????%?it.
????????????obj.conditionalIncludeMap?=?containers.Map;
????????????obj.conditionalIncludeMap(fullfile(toolboxdir(‘nnet‘)?‘cnn‘?‘resnet50.m‘))?=?{};
????????????
????????end
????end
end
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