Common Representation Learning using Deep CorrNet

In this post, I am going to discuss Deep CorrNet that is described in Correlational Neural Network which is a Common Representation Learning (CRL) technique. I have implemented CorrNet in Python using Keras, Theano as the backend, and Scikit Learn. I have used the same dataset as described in the paper achieving better results across all metrics for transfer learning as well as for data reconstruction. This post covers theoretical as well as step-wise implementation details.

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