Autoencoders using Tensorflow. The encoder part of the architecture breaks down the input data to a compressed version ensuring that important data is not lost but the overall size of the data is reduced significantly. This concept is called Dimensionality Reduction.
maduranga95/tensorflow-autoencoders
Autoencoders using Tensorflow. The encoder part of the architecture breaks down the input data to a compressed version ensuring that important data is not lost but the overall size of the data is reduced significantly. This concept is called Dimensionality Reduction.
PythonMIT