how can i input two inputs to the deep network, one from the imageinputlayer and the other from featureinputlayer
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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???
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Mahesh Taparia
2022 年 3 月 8 日
Hi
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!
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Mahesh Taparia
2022 年 3 月 10 日
Hi
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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