Is it possible to add a second source of data in the lstm ?

Is there a way to use the train Network or any other function in the lstm to add a second source of data?

For Example:

net1 =  trainNetwork(XTrain, XTrain2, labelTrain, labelTrain2, layers, options );

layers = [ ...
    sequenceInputLayer(1)
    bilstmLayer(100,"OutputMode","sequence", XTrain2, labelTrain2)
    dropoutLayer(0.2)
    bilstmLayer(90,"OutputMode","last", XTrain2, labelTrain2)
    dropoutLayer(0.2)
    batchNormalizationLayer
    fullyConnectedLayer(2)
    softmaxLayer
    classificationLayer];

Answer 1

[yanqi liu]

yes，sir，may be use combine to make multi data to one object

[aryan ramesh]

I was wondering if matlab has input flexibility like in keras functional API

visible1 = Input(shape=(n_steps, n_features))

cnn1 = Conv1D(filters=64, kernel_size=2, activation=‘relu’)(visible1)

cnn1 = MaxPooling1D(pool_size=2)(cnn1)