using predictAndUpdateState with an LSTM with featureInputLayer

1 次查看（过去 30 天）
ThomasP
ThomasP 2022-4-12
回答： Zhiyu WANG 2022-5-25
Hello,
I'd like to ask if it's possible to use "predictAndUpdateState" with an LSTM that has an featureInputLayer?
If I train my LSTM with a sequenceInputLayer everything works fine, but when I use a featureInputLayer the training works, prediction using the regular predict() works as well, but for "predictAndUpdateState" I get the error:
predictAndUpdateState and classifyAndUpdateState support recurrent neural networks only.
Is it possible to make predictAndUpdateState work using an LSTM that has been trained using a featureInputLayer?

请先登录，再回答此问题。

采纳的回答

Zhiyu WANG
Zhiyu WANG 2022-5-25
LSTM requires somelike "timeseries" data while "featureInputLayer" is not along with that.Yo ucan refer to this answer:
https://ww2.mathworks.cn/matlabcentral/answers/1594784-when-use-sequence-and-when-feature-for-neural-networks-input-layer-in-regression-problem#answer_840364

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by