Neural network-based approaches have become the driven forces for Natural Language Processing (NLP) tasks. Conventionally. there are two mainstream neural architectures for NLP tasks: the recurrent neural network (RNN) and the convolution neural network (ConvNet). RNNs are good at modeling long-term dependencies over input texts. https://www.hindigyanvishv.com/super-grab-Peach-Snow-Babe-Miniature-Bareroot-super-choice/