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model

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taehoonlee
taehoonlee commented Aug 31, 2018

The 2x down-sampling is one of the important operations in reference models. But, a convolution or a pooling with stride=2, padding='SAME' may result in different outputs over different deep learning libraries (e.g., TensorFlow, CNTK, Theano, Caffe, Torch, ...) due to their different padding behaviors.

For example (TensorNets syntax; but can be regarded as pseudo codes for other libraries),

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

  • Updated Nov 7, 2019
  • Python
fmaussion
fmaussion commented Nov 8, 2019

Currently, we:

  • smooth the topography according to a window size in meters (251 m). The choice of meters as unit was motivated by the fact that we want to apply the smoothing to the original topography, not the remapped one. In practice, small glaciers are smoothed a lot ([min map dx: 10m](https://
vmarois
vmarois commented Oct 26, 2018

There are still a few things to do to enhance further the documentation:

  • Explain the contents of the configuration files: the section (mandatory vs optional), parameters (mandatory vs optional) etc.
  • Add the expected attributes of each problem class. So far, they all indicate params which is not very explicit.. This should be a team effort 🙂
  • Add pictures where re

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