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Deep learning seismic waveform inversion using pydsm

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dsmnet

1-D seismic imaging (waveform inversion) using convolutional neural networks.
Inputs are computed using the Python package for seismic waveform computation dsmpy.

Example

The result of a test case for a simple single-layer model of the D" region (lowermost 400 km of the Earth's mantle) can be downloaded as a tensorboard log file here.

To view it, please install tensorboard using conda

conda install -n your_environment tensorboard

From the directory where you downloaded the log file, run

tensorboard --logdir=.

and navigate to http://localhost:6006/.

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Deep learning seismic waveform inversion using pydsm

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