how to extract the learned features from a dlnetwork
I wanted to extract the feature vector of training and testing data from a dlnetwork by using the activations and forward functions, matlab show me this error with any format of training and testing data, Incorrect number or types of inputs or outputs for function activations or forward function.
featureSet = forward(net,trainData,net.Layers(181).Name,’OutputAs’,’columns’);
featureSet = activations(net,dltrainData,net.Layers(181).Name);
is there another running instruction with another format of training and testing dataI wanted to extract the feature vector of training and testing data from a dlnetwork by using the activations and forward functions, matlab show me this error with any format of training and testing data, Incorrect number or types of inputs or outputs for function activations or forward function.
featureSet = forward(net,trainData,net.Layers(181).Name,’OutputAs’,’columns’);
featureSet = activations(net,dltrainData,net.Layers(181).Name);
is there another running instruction with another format of training and testing data I wanted to extract the feature vector of training and testing data from a dlnetwork by using the activations and forward functions, matlab show me this error with any format of training and testing data, Incorrect number or types of inputs or outputs for function activations or forward function.
featureSet = forward(net,trainData,net.Layers(181).Name,’OutputAs’,’columns’);
featureSet = activations(net,dltrainData,net.Layers(181).Name);
is there another running instruction with another format of training and testing data extracting features from a pretrained dlnetwork MATLAB Answers — New Questions