Article

A Review of Recurrent Neural Network Architecture for Sequence Learning: Comparison between LSTM and GRU

2021-07-12

Abstract excerpt

Deep neural networks (DNNs) have made a huge impact in the field of machine learning by providing unbeatable humanlike performance to solve real-world problems such as image processing and natural language processing (NLP). Convolutional neural network (CNN) and recurrent neural network (RNN) are two typical architectures that are widely used to solve such problems. Time sequence-dependent problems are generally v...

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Literature Corpus work: 451713f9-205f-5524-b312-d9eb35266499
DOI: 10.20944/preprints202107.0252.v1

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