Matlab 2014a Crack Only Download 295 ((TOP))

Matlab 2014a Crack Only Download 295 ((TOP))

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Download the Example Food Images data set using the downloadSupportFile function and extract the images using the unzip function. This data set is about 77 MB.fprintf("Downloading Example Food Image data set (77 MB)... ")filename = matlab.internal.examples.downloadSupportFile('nnet', ... 'data/ExampleFoodImageDataset.zip');fprintf("Done.\n")filepath = fileparts(filename);dataFolder = fullfile(filepath,'ExampleFoodImageDataset');unzip(filename,dataFolder);

Download and extract the CIFAR-10 data set from -10-matlab.tar.gz. The data set is about 175 MB. Set downloadFolder to the location of the data.url = ' ~kriz/cifar-10-matlab.tar.gz';downloadFolder = tempdir;filename = fullfile(downloadFolder,'cifar-10-matlab.tar.gz');dataFolder = fullfile(downloadFolder,'cifar-10-batches-mat');if ~exist(dataFolder,'dir') fprintf("Downloading CIFAR-10 dataset (175 MB)... "); websave(filename,url); untar(filename,downloadFolder); fprintf("Done.\n")endConvert the data to numeric arrays using the helper function loadCIFARData, which is used in the example Train Residual Network for Image Classification. To access this function, open the example as a live script.oldpath = addpath(fullfile(matlabroot,'examples','nnet','main'));[XTrain,YTrain,XValidation,YValidation] = loadCIFARData(downloadFolder);

Download and extract the Turbofan Engine Degradation Simulation data set.filename = matlab.internal.examples.downloadSupportFile( ... "nnet","data/TurbofanEngineDegradationSimulationData.zip");unzip(filename,dataFolder)

The data set is 1.7 GB.fprintf("Downloading TEP faulty training data (613 MB)... ")filenameFaultyTrain = matlab.internal.examples.downloadSupportFile('predmaint', ... 'chemical-process-fault-detection-data/faultytraining.mat'); fprintf("Done.\n")fprintf("Downloading TEP faulty testing data (1 GB)... ")filenameFaultyTest = matlab.internal.examples.downloadSupportFile('predmaint', ... 'chemical-process-fault-detection-data/faultytesting.mat');fprintf("Done.\n")fprintf("Downloading TEP fault-free training data (36 MB)... ")filenameFaultFreeTrain = matlab.internal.examples.downloadSupportFile('predmaint', ... 'chemical-process-fault-detection-data/faultfreetraining.mat'); fprintf("Done.\n")fprintf("Downloading TEP fault-free testing data (69 MB)... ")filenameFaultFreeTest = matlab.internal.examples.downloadSupportFile('predmaint', ... 'chemical-process-fault-detection-data/faultfreetesting.mat'); fprintf("Done.\n") 2b1af7f3a8