1D Convolutional Neural Networks and Applications: A Survey

@article{Kiranyaz20191DCN,
  title={1D Convolutional Neural Networks and Applications: A Survey},
  author={Serkan Kiranyaz and Onur Avcı and Osama Abdeljaber and Turker Ince and Moncef Gabbouj and Daniel J. Inman},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.03554}
}
During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with alternating convolutional and subsampling layers. Deep 2D CNNs with many hidden layers and millions of parameters have the ability to learn complex objects and patterns providing that they can be trained on a massive size visual database with ground-truth labels. With a proper… Expand
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