How to get the encoded data from a retrained autoencoder?

Illustration
priyasingh - 2021-07-08T10:35:47+00:00
Question: How to get the encoded data from a retrained autoencoder?

How to get the encoded data from a retrained autoencoder?   Here is my example:   X = bodyfat_dataset; autoenc = trainAutoencoder(X); extract1= encode(autoenc,X)' %convert to a net work net = network(autoenc); Xpred = net(X); %how do i extract the encoded data. %tried this but it did not help extract2 = net.outputs{1}  

Related Questions

  • Is there a difference between incremental training using ADAPT
  • How can I train a neural network such that the output of
  • How do I constrain a fitted curve through specific points like the origin in MATLAB?
  • How to control which GPUs and CPUs get which tasks during multiple calls to trainNetwork?
  • How to get the encoded data from a retrained autoencoder?

    • Expert Answer

    Profile picture of John Williams John Williams answered . 2025-11-20

    Here are two options you can use:
    Option 1:
     
    1. Run the code to train and retrain an autoencoder:
    % Train a first sparse autoencoder with default settings.
autoenc = trainAutoencoder(X1);
% convert this autoencoder into a network:
net = network(autoenc);
% retrain autoencoder:
net = train(net,X2,X2);
    2. Then use 'genFunction' to generate a function for the autoencoder network:
     
     
    genFunction(net);
    This will create a new function on the current folder called 'neural_function' that contains the code for the autoencoder 'net'.
     
    The customer could then edit this function so that it outputs the output of layer 1 (a1) (I have attached an example of how the function will look like after the changes).
     
    3. Finally, the encoded data can be obtained by calling 'neural_function' on the new data:
    features = neural_function(X1);

     


    Not satisfied with the answer ?? ASK NOW

    Get a Free Consultation or a Sample Assignment Review!

    Upload Assignment Talk to Expert