Multi-inputs multi-outputs model support


#1

Hi Dastin,
Could you please let me know whether Edward support multi-inputs multi-outputs neural networks?


#2

Could you describe what multi-input/output is? Generally speaking, if the generative process can be described then you can write an Edward program for it. For example, multi-class classification would use a Multinomial distribution for the output.


#3

So so sorry for my bad explanation, and of course, I certainly know what you explained.

Consider conditional variational autoencoder where we have two inputs as an example of multi-inputs multi-outputs.

Multi-inputs multi-outputs means you have multiple datasets as inputs and want to learn multiple neural networks simultaneously.

Does it clear now? :slight_smile:


#5

Thanks man, but I meant something completely different. :wink:

let me explain by an example, can we use Edward to solve conditional variational autoencoder where we have two inputs in our model?


#6

Hi Dustin,
Do you have any idea to model conditional variational autoencoder by Edward? I mean to model multi-inputs multi-outputs Keras model by Edward.