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.