How to input image features to the featureinputLayer of a deep neural network in MATLAB.

I have built a CNN model using transfer learning with DeepNetworkDesigner app. I have used Vgg-16 and replaced its layers such that the 'fc6' output is fed to a concatenation layer that concatenates the 'fc6' output and the output of 'featureInputLayer'. When I analyze the network, I am getting multiple errors. Some of them were resolved but some still persist and make the network invalid.

I wanted to implement this network to train on images as well as on image features. I have 2000 feature vectors each of size 1x20160 which I want to feed at featureinputLayer. What data transformations are needed to get this... Please guide!

Photos displaying data, network and errors are attached here:

Answer 1

[ziyang huang]

openExample('nnet/CreateDlnetworkWithTwoInputLayersExample')

Try to copy this command to command window to see the built-in example, I've seen this example by chance which is almost the same as your situation and I think might help you. Seems it needs to create a dlnetwork object or whatever.