Autoencoder.encode - Encode input data - MATLAB (original) (raw)
Class: Autoencoder
Syntax
Description
[Z](#buxdn14%5Fsep%5Fshared-Z) = encode([autoenc](#buxdn14%5Fsep%5Fshared-autoenc),[Xnew](#buxdn14%5Fsep%5Fshared-Xnew)) returns the encoded data, Z, for the input data Xnew, using the autoencoder, autoenc.
Input Arguments
Trained autoencoder, returned as an object of the Autoencoder class.
Data Types: single | double | cell
Output Arguments
Data encoded by autoenc, specified as a matrix. Each column of Z represents an encoded sample (observation).
Data Types: single | double
Examples
Load the sample data.
X = digitTrainCellArrayData;
X is a 1-by-5000 cell array, where each cell contains a 28-by-28 matrix representing a synthetic image of a handwritten digit.
Train an autoencoder with a hidden size of 50 using the training data.
autoenc = trainAutoencoder(X,50);
Encode decoded data for new image data.
Xnew = digitTestCellArrayData; Z = encode(autoenc,Xnew);
Xnew is a 1-by-5000 cell array. Z is a 50-by-5000 matrix, where each column represents the image data of one handwritten digit in the new data Xnew.
Algorithms
If the input to an autoencoder is a vector x∈ℝDx, then the encoder maps the vector x to another vector z∈ℝD(1) as follows:
where the superscript (1) indicates the first layer. h(1):ℝD(1)→ℝD(1) is a transfer function for the encoder, W(1)∈ℝD(1)×Dx is a weight matrix, and b(1)∈ℝD(1) is a bias vector.
Version History
Introduced in R2015b