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0 Replies and 734 Views TensorFlow in the Cloud - AWS, GCP or Azure?  734  0 Started by  Patrick Ng TensorFlow on three platforms, first impression - Amazon Web Services (AWS) - does require use of Unix script, and if running from Windows, additional download of utility PuTTY for ssh connections (geek speak for cybersecurity key). ttps://www.datacamp.com/community/tutorials/deep-learning-jupyter-aws Google Cloud Platform (GCP) - much the same as AWS, and no PuTTY download required. https://towardsdatascience.com/running-jupyter-notebook-in-google-cloud-platform-in-15-min-61e16da34d52 ...
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16 Nov 2017 03:22 PM
1 Replies and 733 Views First Principle - Model  733  1 Started by  Patrick Ng Recall what 'model' meant and lessons learnt: Amplitude-versus-Offset (AVO) Intercept and slope (gradient) multiplied by sine square of angle in a linearised model Product of intercept and slope is an attribute (e.g., feature engineering) Intercept and slope are two distinct features Inversion Gulf coast - low-frequency trend / young clastic sediments / cyclic deposition North Sea - discrete-structure layers / carbonates / unconformities Prestack Depth Migration GOM - vel...
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01 Nov 2017 12:34 AM
3 Replies and 1466 Views Tensor Processing Unit (TPU)  1466  3 Started by  Patrick Ng The first generation TPU was only able to handle inference. The new one can also be used for training machine learning models, a significant part of the machine learning workflow all within this single, powerful chip. That means that you can build a machine learning model — for example, to correctly identify an object in a photo is a tree, a car or a cat. Inference in machine learning refers to the statistical likelihood that the machine’s conclusions are correct — for example, based on the m...
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01 Nov 2017 12:06 AM
0 Replies and 837 Views First Principle and Neural Network Implementation  837  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, http://aemstatic-ww2.azureedge.net/content/dam/ogfj/print-articles/volume-13/issue-12/1612OGFJng-z01.jpg.scale.LARGE.jpg Recall geology fundamental, grain size distribution of sediments is also log normal. It suffices to reason that using...
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02 Oct 2017 11:11 PM
0 Replies and 1120 Views Something for Everyone  1120  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
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