combining classification from 2 different NN , on two different datasets

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Yogini Prabhu 2020-12-18

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评论： Yogini Prabhu 2020-12-28

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?

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Abhishek Gupta 2020-12-22

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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: -

Create Simple Deep Learning Network for Classfication

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Abhishek Gupta 2020-12-27

For your problem, I would suggest you use Deep Network Designer instead, which will help you to create a customized network as described above. Here is the documentation link which might help you in getting started: -

https://www.mathworks.com/help/deeplearning/gs/get-started-with-deep-network-designer.html

Yogini Prabhu 2020-12-28

15obs.mat

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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