How can i use CNN?

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CHHAVI
CHHAVI 2021-3-22
回答： Srivardhan Gadila 2021-3-28
I have a 3D feature set [10x2000x9, 10x2000x9,10x2000x9......................10x2000x9] and corrosponding ground truth in 4 class like [0,1,2,3]. Means for each 10x2000x9 their will be a ground truth from 0 to 3. How can i use CNN for this to classify in multiclass?
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KSSV
KSSV 2021-3-22
You may go through the examples and pick the code and extend to your case.

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Srivardhan Gadila
Srivardhan Gadila 2021-3-28
You can refer to Create Simple Deep Learning Network for Classification, Training a Model from Scratch, Get Started with Deep Learning Toolbox & Deep Learning Toolbox. Also the following code might give you some idea to get started quickly:
inputSize = [10 2000 9];
numSamples = 128;
numClasses = 4;
%% Generate random data for training the network.
trainData = randn([inputSize numSamples]);
trainLabels = categorical(randi([0 numClasses-1], numSamples,1));
%% Create a network.
layers = [
imageInputLayer(inputSize,'Name','input')
convolution2dLayer(3,16,'Padding','same','Name','conv_1')
batchNormalizationLayer('Name','BN_1')
reluLayer('Name','relu_1')
fullyConnectedLayer(10,'Name','fc1')
fullyConnectedLayer(numClasses,'Name','fc2')
softmaxLayer('Name','softmax')
classificationLayer('Name','classOutput')];
lgraph = layerGraph(layers);
%% Define training options.
options = trainingOptions('adam', ...
'InitialLearnRate',0.005, ...
'LearnRateSchedule','piecewise',...
'MaxEpochs',100, ...
'MiniBatchSize',128, ...
'Verbose',1, ...
'Plots','training-progress');
%% Train the network.
net = trainNetwork(trainData,trainLabels,layers,options);

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