I trained an LSTM with Keras and I'm importing this network with a .h5 file and it has the next characteristics:
Dimensions for inputs in this network with keras are a 3D matrix composed by (number of samples, time steps, number features per time step), I'm trying the same dimension in MATLAB but I get this error:
Undefined function 'predict' for input arguments of type 'nnet.cnn.layer.Layer'.
This is the code that I'm using for predict:
modelfile = 'Modelos\ControlLSTM_XYZ_1.h5';
net = importKerasLayers(modelfile)
In this case 'Example' is a matrix of inputs with random values between 1 and 0, that I'd use for generate a prediction with my neural network, I'd like to know if this format for inputs change in MATLAB or if it still the same, due to it's a network from Keras, also I'd like to know if in my code I'm doing some mistake with LSTM networks because I don't understanf why MATLAB show an error related with convolutional neural networks?.
Thanks for your help.