Yes, it is possible to generate an entirely new set of input text using the trained autoencoder "AE". Once the autoencoder is trained, you can use it to generate new text by sampling from the latent space and decoding the samples back into text. This can be done by randomly sampling from a normal distribution and passing the samples through the decoder part of the autoencoder.
Here's an example code snippet to generate new text using the trained autoencoder "AE",
% Generate new text using the trained autoencoder "AE"
latentDim = size(AE.Encoder.Weights, 2); % Get the dimension of the latent space
numSamples = 10; % Number of text samples to generate
% Generate random samples from a normal distribution
latentSamples = randn(numSamples, latentDim);
% Decode the latent samples into text
generatedText = predict(AE.Decoder, latentSamples);
% Display the generated text
disp(generatedText);
This code snippet generates 10 new text samples by sampling from the latent space and decoding the samples using the decoder part of the autoencoder "AE". You can adjust the number of samples to generate as per your requirement.
You can also refer to the following documentation for more information,
Hope this helps!
