amolgm/intelligent-ebook
This is C code for my ARM7-core based Intelligent ebook.
An unsupervised learning algorithm that applies back propagation, setting the target values to be equal to the inputs. Also, we impose a sparsity constraint on the hidden units, then the autoencoder will still discover interesting structure in the data, even if the number of hidden units is large.
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This is C code for my ARM7-core based Intelligent ebook.
Public repository.
An autoencoder with a sigmoid (or tanh) hidden layer and a linear output layer is Linear Decoders. If one uses PCA whitening, the input is no longer constrained to [0,1], then you go for Linear Decoders
A stacked autoencoder is a neural network consisting of multiple layers of sparse autoencoders in which the outputs of each layer is wired to the inputs of the successive layer.