Pytorch implementation of the paper "K-Autoencoders Deep Clustering"
This is a repository for the K_DAE deep learning network. The entire project is not well prepared for object oriented and need more modifications.
However, it implements the Pytorch version of the K_DAE, developed for those who are not familiar Keras and TensorFlow.
During the implementation, some activation functions and loss functions are modified.
To run the model, use fit() in Train_Model().