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""" Deep Auto-Encoder implementation | |
An auto-encoder works as follows: | |
Data of dimension k is reduced to a lower dimension j using a matrix multiplication: | |
softmax(W*x + b) = x' | |
where W is matrix from R^k --> R^j | |
A reconstruction matrix W' maps back from R^j --> R^k |