10.6084/m9.figshare.7170299.v1 Jesper Soeren Dramsch Jesper Soeren Dramsch A practitioner's guide to deep learning in geophysical imaging figshare 2018 seismics geophysics geophysical inversion Geophysical Imaging Deep Learning Neural Networks Neural Networks Generative Adversarial Networks U-Net CNN architecture Convolutional Neural Networks Deep Learning Machine Learning Recurrent Neural Networks seismic imaging Greybox Geophysics Knowledge Representation and Machine Learning Neural, Evolutionary and Fuzzy Computation Neurocognitive Patterns and Neural Networks 2018-10-04 21:33:00 Presentation https://figshare.com/articles/presentation/A_practitioner_s_guide_to_deep_learning_in_geophysical_imaging/7170299 Insights into opportunities of deep learning in physics-based approaches in deep learning, presented at the FORCE seminar on geophysical imaging and velocity model building.