Deep Learning/Machine Learning Technical Interest Group (TIG)

Applying new analytics, neural networks, computational approaches using structured and unstructured data, and also training neural networks with supervised and unsupervised algorithms. Chaired by Patrick Ng and Andrew Munoz.
Deep Learning - Machine Learning TIG
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0 Replies and 326 Views Read This First!      326  0 Started by  Bogdan Michka Welcome to AAPG N.E.T., an online space where you can Network, Engage and Talk. Please complete the following steps before you begin interacting with the discussion boards: 1. Take time to review your profile and privacy settings, paying attention to your display name and photo, as they will be used to identify your posts. 2. Read the Discussion Boards FAQ page to learn the rules and get familiar with the features: — pa...
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09 May 2017 03:37 PM
0 Replies and 54 Views Virtual Hackathon with Real Data  54  0 Started by  Patrick Ng Check this out
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04 Aug 2020 04:03 PM
0 Replies and 44 Views DeepSeismic - step by step Deep Learning for seismic data  44  0 Started by  Patrick Ng Note - while the example is based on Microsoft Azure, the general principle also applies to GCP and AWS in terms of using TensorFlow-TensorBoard to QC intermediate results.
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27 Jul 2020 07:17 PM
0 Replies and 38 Views URTEC 2020  38  0 Started by  Andrew Munoz Hi everyone, If you would like to see an interpreter/geologist friendly talk on adding value to seismic interpretation through pre-stack conditioning, please visit my talk: Unlocking Value from Vintage Seismic Processing - Pre-Stack Conditioning and Inversion in the Eagle Ford Shale at Urtec 2020 by visiting the following link and replaying the talk.
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22 Jul 2020 01:50 PM
0 Replies and 56 Views Introduction to Neural Network and Geostat for Subsurface  56  0 Started by  Patrick Ng Dr. Pyrcz can energize audience in person and online. To find out more, go to links: Neural Network for Subsurface (glimpse into interpretation by machine) - Subsurface Spatial Continuity (aka Geostat and P10, P50, P90) - Webinars ensure continuous learning with proper social distancing, amidst convid-19.
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30 Jun 2020 10:57 PM
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