New initial starting point (input and output) of already trained LSTM Network

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Leon 2023-4-24

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回答： Yash Sharma 2024-7-1，17:17

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)?

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Answer 1

Yash Sharma 2024-7-1，17:17

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Hi Leon,

Yes it is possible to use an already trained network for new predictions, take a look at the following documentation of transfer learning.

Get started with transfer learning: https://www.mathworks.com/help/deeplearning/gs/get-started-with-transfer-learning.html

Hope it helps!

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