The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here

Question about LSTM NN design

luc_bartkowskiluc_bartkowski Member Posts: 46 Maven
edited November 2018 in Help

Hi,

I have a Deep Learning / Keras NN design question: I want to classify a time series dataset by implementing an LSTM design. My classification has a hierarchy. A pattern belongs to multiple classes. I will label each class as a separate column in the training data set. Class 1 classification results from an LSTM could be used as input in an adjacent LSTM to improve class 2 classification. My question is: how should I design the NN? 2 Separate NNs and merge the output on basis of the timestamp? Does a better design exist in such LSTM application? Please advice.

Thx, Luc

Sign In or Register to comment.