An Introduction to Recurrent Neural Network

Have you ever wondered how the predictive text algorithm works? How well does that speech recognition know our voice? In the case of image segregation, convolutional neural networks were changing times after artificial intelligence, in these types of problems using Recurrent Neural Networks (RNN). These Neural Networks are very powerful and useful especially in so-called Natural Language Processing (NLP). One may wonder what makes it so special. Well, the networks we have explored so far, Standard Neural Networks and Convolutional Neural Networks, accept a fixed size vector as input and produce a fixed size vector as output. The structure of Neural Recurrent Networks is similar to the structure of artificial intelligence Neural Networks, but with one twist. They broadcast network output after installation.