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combining classification from 2 different NN , on two different datasets

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Yogini Prabhu
Yogini Prabhu on 18 Dec 2020
Commented: Yogini Prabhu on 28 Dec 2020
we have two diffrent datasets to be utilised for 2 different NN (classification type) and decision be made on results of both,eg if one has got defect in eye (retina dataset and iris dataset)
how to implement in the code?

Answers (1)

Abhishek Gupta
Abhishek Gupta on 22 Dec 2020
Hi,
As per my understanding, you want to train two different Neural Network on two different datasets for the classification problem. This task can be achieved by implementing and training two neural networks separately on the two datasets. After training, you can use these trained networks to make the prediction and then can compare the predictions at the same time.
The following documentation would help you in creating a simple network for classification: -
  5 Comments
Yogini Prabhu
Yogini Prabhu on 28 Dec 2020
thanks for suggesting the way to Deep network
but with a toddler baby, its difficult to migrate to a new area, (and I wish to achieve deadline of research paper to a quality submission ). i have used the app of nprtool (as said above).
kindly help with the results got, in the attached mat file

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