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、預訓練模型和應用程序來設計和實現深度神經網絡的框架。我們可以使用卷積神經網絡(ConvNet、CNN)和長短期記憶 (LSTM) 網絡對圖像、時序和文本數據執(zhí)行分類和回歸。
Deep Learning Toolbox 提供了一個用于通過算法、預訓練模型和應用程序來設計和實現深度神經網絡的框架。我們可以使用卷積神經網絡(ConvNet、CNN)和長短期記憶 (LSTM) 網絡對圖像、時序和文本數據執(zhí)行分類和回歸。
代碼片段和文件信息
classdef?VGG16PackageInfo?se
????%VGG16PackageInfo?VGG16?support?package?support?for?ML?Compiler
????
????%???Copyright?2016-2018?The?MathWorks?Inc.
????
????methods
????????function?obj?=?VGG16PackageInfo()
????????????obj.baseProduct?=?‘Deep?Learning?Toolbox‘;
????????????obj.displayName?=?‘Deep?Learning?Toolbox?Model?for?VGG-16?Network‘;
????????????obj.name????????=?‘Deep?Learning?Toolbox?Model?for?VGG-16?Network‘;
????????????
????????????sproot?=?matlabshared.supportpkg.getSupportPackageRoot();
????????????
????????????%?Define?all?the?data?that?should?be?deployed?from?the?support
????????????%?package.?This?includes?the?actual?network?data?which?will
????????????%?be?archived?in?the?CTF.
????????????obj.mandatoryIncludeList?=?{...
????????????????fullfile(sproot?‘toolbox‘‘nnet‘‘supportpackages‘‘vgg16‘‘+nnet‘)?...
????????????????fullfile(sproot?‘toolbox‘‘nnet‘‘supportpackages‘‘vgg16‘‘*.rights‘)?...
????????????????fullfile(sproot?‘toolbox‘‘nnet‘‘supportpackages‘‘vgg16‘‘license_addendum‘)?...
????????????????fullfile(sproot?‘3P.instrset‘‘vgg16.instrset‘)?...
????????????????};
????????????
????????????%?Add?conditional?includes?so?that?VGG-16?support?package
????????????%?is?only?suggested?if?the?related?function?is?used.
????????????obj.conditionalIncludeMap?=?containers.Map;
????????????obj.conditionalIncludeMap(fullfile(toolboxdir(‘nnet‘)‘cnn‘‘vgg16.m‘))?=?{};
????????end
????end
end
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