Transformer: A Survey and Application
Xinyuan Song, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Liu, Xiaogang Li, Tianyang Wang, Xuanhe Pan, Jiawei Xu, Chuanqi Jiang, Jinlang Wang, Pohsun Feng, Yichao Zhang, Keyu Chen, Ziqian Bi, Juan Zhang, Zichen Yuan
Abstract
Deep learning is a subset of machine learning that models data using artificial neural networks with multiple layers. Each layer in the neural network processes the input data, extracts relevant features, and passes it to the next layer. Deep learning techniques have led to significant advancements in areas such as image recognition, natural language processing, and speech recognition.
Topics & Concepts
Computer scienceDeep learningArtificial neural networkTransformerArtificial intelligenceDeep neural networksLayer (electronics)Machine learningPattern recognition (psychology)EngineeringOrganic chemistryChemistryVoltageElectrical engineeringNeural Networks and Applications