How to Use RegressionLayer in LSTM of Nerual Network Toolbox?
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- I want to build a network:
- input layer:64 units ----> hidden layer (LSTM): 1024 units ----> output layer(Fully connect + softmax):64 units
- output's type is a float number in [0,1]
- The question is how can i use lstm in Nerual Network Toolbox to build a network
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Wentao Du
el 20 de Nov. de 2017
Please refer to the following example in documentation:
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Wentao Du
el 15 de Mzo. de 2018
In the newest release of MATLAB R2018a, LSTM can be used for regression problems: https://www.mathworks.com/help/releases/R2018a/nnet/release-notes.html
For an example showing how to forecast future values in a time series, see Time Series Forecasting Using Deep Learning .
For an example showing how to create an LSTM network for sequence-to-sequence regression, see Sequence-to-Sequence Regression Using Deep Learning .
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