Search this forum:
You are not authorized to create a new topic
Page 28 of 29 << < 2526272829 > >>
 Last Post
0 Replies and 567 Views First Principle and Neural Network Implementation  567  0 Started by  Patrick Ng This thread aims at linking first principle to deeper understanding of neural network implementation. First principle first, in both Unconventional and classic producing area, typical IP distribution is anything but a bell curve. For example, Recall geology fundamental, grain size distribution of sediments is also log normal. It suffices to reason that using...
0 567
02 Oct 2017 11:11 PM
0 Replies and 830 Views Something for Everyone  830  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 ...
0 830
05 Sep 2017 11:07 PM
0 Replies and 591 Views Deep Learning online from one of the best teachers  591  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
0 591
11 Aug 2017 12:30 AM
1 Replies and 764 Views Different Approach with a Common Thread - Use of First Principle  764  1 Started by  Patrick Ng Two articles illustrate with examples of creating tangible value: 1) DNN - 2) Multivariate - Food for thought - with infusion of G&G, learning with machine beats machine modeling alone
1 764
by  Patrick NgJump to last post
02 Aug 2017 02:46 PM
1 Replies and 999 Views May 22, 2017 Workshop Follow-up - Mining Big Data  999  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.
1 999
by  Deborah K. SacreyJump to last post
27 Jun 2017 05:20 PM
You are not authorized to create a new topic
Page 28 of 29 << < 2526272829 > >>

RSS Feed Available


Andrew Munoz Fuego Exploration
Patrick Ng Shaleforce

Headquarters Contacts

Susan Nash Director, Innovation and Emerging Science and Technology AAPG