I have input data X and output data Y.
I am training a LSTM network using:
net = trainNetwork(X(1:500), Y(1:500), layers, options);
This trains and initialize the network
However is there a way to initialize the network with for example X(1:600) and Y(1:600), not by retraining but by using the previous trained network ansd start any new predictions from that point on (601 and up)?I have input data X and output data Y.
I am training a LSTM network using:
net = trainNetwork(X(1:500), Y(1:500), layers, options);
This trains and initialize the network
However is there a way to initialize the network with for example X(1:600) and Y(1:600), not by retraining but by using the previous trained network ansd start any new predictions from that point on (601 and up)? I have input data X and output data Y.
I am training a LSTM network using:
net = trainNetwork(X(1:500), Y(1:500), layers, options);
This trains and initialize the network
However is there a way to initialize the network with for example X(1:600) and Y(1:600), not by retraining but by using the previous trained network ansd start any new predictions from that point on (601 and up)? lstm initiate deep learning MATLAB Answers — New Questions

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