Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks

Eder Santana, Matthew Emigh, Pablo Zegers +1

We propose a convolutional recurrent neural network, with Winner-Take-All dropout for high dimensional unsupervised feature learning in multi-dimensional time series. We apply the…