Classification task using 2D sequences input
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layers = [ ...
sequenceInputLayer([48 3 1]])
convolution2dLayer([3 3], 1)
bilstmLayer(20)
fullyConnectedLayer(2)
classificationLayer
];
trainNetwork(feature, label, layers, options)
`feature` is a 600x1 cell and it's element is 48x3x800 matrix
`label` is 600x1 cell and it's elements is 1x800
I want to map a vector of size 48x3 to label
But got this error: training sequence have dim 48 3 800 but input layer have dim 48 3 1, should I create a new data store or use `arrayDatastore`
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