combining classification from 2 different NN , on two different datasets
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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
il 22 Dic 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: -
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Abhishek Gupta
il 27 Dic 2020
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: -
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