Here is a sample code in MATLAB for creating a CNN for image classification on the MNIST dataset:
main.m903 chars34 lines
In this code, the helperMNISTData.load
function is used to load the MNIST dataset. The layers of the CNN are defined using imageInputLayer
, convolution2dLayer
, reluLayer
, maxPooling2dLayer
, fullyConnectedLayer
, softmaxLayer
, and classificationLayer
. The training options are specified using trainingOptions
, and the CNN is trained using trainNetwork
. Finally, the accuracy of the CNN is computed using the classify
function and compared to the true labels YTest
.
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