how can i input two inputs to the deep network, one from the imageinputlayer and the other from featureinputlayer
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Nagwa megahed on 4 Mar 2022
Commented: Mahesh Taparia on 10 Mar 2022
how can i input the images and the extracted features by one of the algorithms to a deep network
this example shows how can i build the structure of the network with an input layer and feature input layer
but how i can train the network with the two inputs???
Mahesh Taparia on 8 Mar 2022
You can refer to this example which shows how to combine image and features and then pass it to a CNN. It create a dlnet object which you can train it using custom training loop. For more information, you can refer to this documentation. Hope it will help!
Mahesh Taparia on 10 Mar 2022
You can concatenate the image and features in the channels. For example if you have images of size MxNxZ and features of size MxNxK, then concatenate into mxnx(Z+K) size and pass in to network.
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