Machine Learning, Recurrent Neural Network, Multidimensional Rnn, Multidimensional Lstm.
random matrix to represent the linear mapping we want to learn, M. And apply it to a gaussian field matrix I to produce a new transformed matrix O, i.e. O = M∙I. We feed I and O into our MDLSTM network as our inputs and targets. Since our goal is to predict O given the input I where values of