Neural-networks for geophysicists and their application to seismic data interpretation

@article{Peters2019NeuralnetworksFG,
  title={Neural-networks for geophysicists and their application to seismic data interpretation},
  author={Bas Peters and Eldad Haber and Justin Granek},
  journal={ArXiv},
  year={2019},
  volume={abs/1903.11215}
}
There has been a surge of interest in neural networks for the interpretation of seismic images over the last few years. Network-based learning methods can provide fast and accurate automatic interpretation, provided that there are many training labels. We provide an introduction to the field for geophysicists who are familiar with the framework of forward modeling and inversion. We explain the similarities and differences between deep networks and other geophysical inverse problems and show… 
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