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GEOREF RECORD

Neural networks

Graham Ganssle
Neural networks
Leading Edge (Tulsa, OK) (August 2018) 37 (8): 616-619

Abstract

We've all heard a proselytizing hyperbolist make the artificial-intelligence-is-going-to-steal-my-job speech. If you subscribe, look at the code in the notebook accompanying this tutorial at https://github.com/seg/tutorials-2018. It demonstrates a small neural network. You'll find a simple system composed chiefly of multiply and add operations. That's really all that happens inside a neural network. Multiply and add. There's no magic here.


ISSN: 1070-485X
EISSN: 1938-3789
Serial Title: Leading Edge (Tulsa, OK)
Serial Volume: 37
Serial Issue: 8
Title: Neural networks
Author(s): Ganssle, Graham
Affiliation: Expero, Austin, TX, United States
Pages: 616-619
Published: 201808
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
Accession Number: 2019-001770
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2019, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201903
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