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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Last Post 03 Feb 2021 12:12 PM by  Patrick Ng
Deep Learning - LSTM for time series data
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Patrick Ng
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03 Feb 2021 12:12 PM
    For those working with production history / decline curve or well economics, this is of particular interest.

    https://courses.nvidia.com/courses/course-v1LI+L-FX-24+V1/courseware/002fd0d3d1a749a6956eaeac5a360926/5f0c98b68a7f48d6ae4a4d4f42657c50/?activate_block_id=block-v1%3ADLI%2BL-FX-24%2BV1%2Btype%40sequential%2Bblock%405f0c98b68a7f48d6ae4a4d4f42657c50

    Cost $30 goes to zero if you are a SEG member and access registration via SEG Deep Learning, with promote code (click button SEG30).

    Perspective - LSTM is widely used in natural language processing (NLP) like Google Translate and seeking out stocks momentum trade. For me, using LSTM in type curve analysis as quick 2nd opinion / risk assessment.

    Try LSTM and share you learning journey here. Have fun.
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