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 657 Views Something for Everyone  657  0 Started by  Patrick Ng For those who got flooded by Harvey or from “control release”, our thoughts and prayers are with you. As I was stuck at the house when Harvey was pouring down 51 inches of rain, surrounded by flooded streets and freeways, I thought about what would make this blog relevant to our members. I recall: a) the first time many machine and deep learning jargons appear daunting, b) after internal translation of machine learning speak to G&G experience, I can relate to much better. So here are three ...
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05 Sep 2017 11:07 PM
0 Replies and 421 Views Deep Learning online from one of the best teachers  421  0 Started by  Patrick Ng While AI / Deep Learning appears daunting, a new online course by Prof Andrew Ng may just be a good starting point. It will cover TensorFlow. For more detailed information, see https://techcrunch.com/2017/08/08/deeplearning-ai-is-andrew-ngs-new-series-of-deep-learning-classes-on-coursera/
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11 Aug 2017 12:30 AM
1 Replies and 574 Views Different Approach with a Common Thread - Use of First Principle  574  1 Started by  Patrick Ng Two articles illustrate with examples of creating tangible value: 1) DNN - https://www.onepetro.org/conference-paper/SPE-174799-MS 2) Multivariate - https://info.drillinginfo.com/machine-learning-in-oil-and-gas/ Food for thought - with infusion of G&G, learning with machine beats machine modeling alone
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by  Patrick NgJump to last post
02 Aug 2017 02:46 PM
1 Replies and 834 Views May 22, 2017 Workshop Follow-up - Mining Big Data  834  1 Started by  Patrick Ng Recall in Deborah Sacrey's presentation, neural network was able to seek out features from 2-ms data, but not 4-ms, when 2-ms is resampled from 4-ms data. For some, that was puzzling. Q1: is such observation common, and if so, is there a simple explanation Q2: what is the implication on Deep Learning and sampling rate Thanks in advance.
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by  Deborah K. SacreyJump to last post
27 Jun 2017 05:20 PM
0 Replies and 329 Views Getting Started  329  0 Started by  Patrick Ng Breakthrough Big Data and Deep Learning in Today's Oil Industry: Interview with Kamal Hami-Eddine, 18 January, 2017 http://www.aapg.org/publications/blogs/learn/article/Articleid/37297/breakthrough-big-data-and-deep-learning-in-todays-oil-industry-interview-with-kamal-hami-eddine
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12 May 2017 09:28 PM
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