Which data format for dlarray/input layer should I use for my dataset?

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Jack Fullerton
Jack Fullerton on 15 Mar 2021
Commented: Tarunbir Gambhir on 22 Mar 2021
Hi there, quick question. I am working on a VAE which predicts binary sequences.
My training data is 60000 binary sequences of length 5 ([0,1,1,0,1]). The vector storing these is of dims 60000x5. Currently I thought about converting the vector to a dlarray of format "CB" and using a featureInputLayer on the encoder and decoder. Would this be correct?

Answers (1)

Tarunbir Gambhir
Tarunbir Gambhir on 18 Mar 2021
Based on the information you have shared, I understand that you are trying to predict binary sequences using a VAE trained on a dataset of Vector Sequences.
In your case, you should use the dlarray of format "BT" as the input vector is n-by-s matrix (60000x5), where n is the number of sequence observations, and s is the sequence length. The "B" represents the Batch observation size and "T" represents Time or sequence length.
You can refer this section for more information.
  2 Comments
Tarunbir Gambhir
Tarunbir Gambhir on 22 Mar 2021
In that case, you can add a unit dimension for the Channel. For example, the input vector could be c-by-n-by-s matrix (1x60000x5) with the dlarray format as "CBT".

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