Gated Recurrent Unit – What Is It And How To Learn

Recurrent Neural Networks have shown assuring results in various machine learning tasks. It has been applied in various cases, such as time-series prediction, machine translation, speech recognition, text summarisation, video tagging, language modelling and more.  Recurrent Neural Network or RNN is a popular neural network that is able to memorise arbitrary-length sequences of input patterns by building connections between units form a directed cycle. And because of the memorising feature, this neural network is useful in time series prediction. Also, recurrent neural networks with sophisticated recurrent hidden units have gained promising success in various applications in the past few years. Among the sophisticated recurrent units, Gated Recurrent Units (GRUs) is one of the cl