Implementation of Recurrent Models and Examples in R for MXNet

I aim to implement some important deep learning models in R for the MXNet package. The main component of the proposed work is the implementation of the Recurrent Neural Network (RNN) models and examples. In addition, I will also implement some useful examples in R, such as different image classification models and fully convolutional networks for image segmentation. At the same time, I will write sufficient tests and relevant documentations.