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1. How to build a Deep Learning network which applies multiple sequence inputs into their corresponding LSTM layers separately, then combines the outputs of LSTM together into a classification layer?

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Answers (1)

Krishna
Krishna on 26 Aug 2024
Hi,
To build these networks with multiple inputs and multiple outputs you need to understand 3 layers ‘additionLayer’, ‘connectLayers’ and ‘concatenationLayer.’ Please look at these documentation to learn more regarding this,
For storing data for the training of these kind of networks you need to use datastores. Look at the following documentation to learn more,
Also look at the following example to learn how to build multi-input multi-output networks,
Hope this helps.

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