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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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Deep Learning - Machine Learning TIG Discussions

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0 Replies and 630 Views Read This First! 630 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: http://www.aapg.org/career/aapg-net/discussion-boards-faq — pa...

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09 May 2017 03:37 PM

0 Replies and 16 Views Abstract Prediction vs Simulation in Deep Learning 16 0 Started by Patrick Ng https://www.zdnet.com/article/metas-ai-luminary-lecun-explores-deep-learnings-energy-frontier/ It is an interesting article that stimulates my blog on what to make of the World Cup of Surprises pertinent to deep learning. https://www.shaleforce.com/blog/the-world-cup-of-surprises And I trust you enjoy the stunning games as much as I do (regardless which team you pick in the bracket). So please share your thoughts on 'expectation vs reality', and especially whether my ...

28 Nov 2022 10:02 PM

0 Replies and 31 Views Working with Diverse Data Collections in Action 31 0 Started by Patrick Ng More transparency, more granular and more ... Follow up to prior post on working with data of different categories: https://www.aapg.org/career/aapg-net/activity/aft/610 As an example, here is a data app: https://shaleforce-aapg-portfolio.streamlit.app/AAPG_Majors_Portfolio that brings to life, industry players mentioned in the Explorer September 2022 https://explorer.aapg.org/story/articleid/63948/is-the-world-in-an-energy-crisis It illustrates what we shall strive for - zero d...

18 Nov 2022 01:04 PM

0 Replies and 35 Views Physics-infused Graph Neural Network for Waterflood Management 35 0 Started by Patrick Ng Graph neural network is often used to depict connections within social networks, and most recently, covid pathways. Last week, Hart Energy hosted an illuminating webinar on reservoir management. 'Transform Waterflood Management Practices, using Graph Neural Network (GNN)' https://lp.hartenergy.com/WBR10-October22AWSQRI10-19-22_LP-OnDemandRegistration.html IF you can't wait to watch the entire video, here are the highlights - a hybrid approach combining physics-based and data-driven mode...

03 Nov 2022 09:16 PM

0 Replies and 31 Views Energy in Data November 15-16 Act 2 @Austin 31 0 Started by Patrick Ng Greater diversity and more use cases on connecting data to tackle challenges. See program detail, check out https://energyindata.org/Program Sample of Keynote Speakers -

03 Nov 2022 07:10 PM

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Forums Technical Interest Groups Deep Learning - Machine Learning TIG Discussions

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