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k501 / autoencoder.py
Created December 8, 2015 01:37 — forked from saliksyed/autoencoder.py
Tensorflow Auto-Encoder Implementation
""" 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