Convolutional RNN: An enhanced model for extracting features from sequential data
Convolutional RNN: An enhanced model for extracting features from sequential data
Traditional convolutional layers extract features from patches of data by applying a non-linearity on an affine function of the input. We propose a model that enhances this feature extraction process for the case of sequential data, by feeding patches of the data into a recurrent neural network and using the …