Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
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How use get final representation of the data after applying a already trained SAE weights? #96
I have a data and like to get its final representation after I forward propagate it through SAE. What is the correct function that I can use in a ease manner?
For instance:
D is data matrix , SAE is the final model that I learned. What function would give the F that is the final representation of D after FF through SAE.
Sorry this is not a issue but I found here to ask this question to a certain owner.
I have a data and like to get its final representation after I forward propagate it through SAE. What is the correct function that I can use in a ease manner?
For instance:
D is data matrix , SAE is the final model that I learned. What function would give the F that is the final representation of D after FF through SAE.
Sorry this is not a issue but I found here to ask this question to a certain owner.