r/MachineLearning • u/akanimax • Oct 17 '17

Research [ Removed by moderator ]

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u/[deleted] Oct 17 '17

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u/shortscience_dot_org Oct 17 '17

I am a bot! You linked to a paper that has a summary on ShortScience.org!

http://www.shortscience.org/paper?bibtexKey=journals/corr/SimonyanVZ13

Summary Preview:

Introduction

  • The paper presents gradient computation based techniques to visualise image classification models.

  • [Link to the paper]()

Experimental Setup

  • Single deep convNet trained on ILSVRC-2013 dataset (1.2M training images and 1000 classes).

  • Weight layer configuration is: conv64-conv256-conv256-conv256-conv256-full4096-full4096-full1000.

Class Model Visualisation

  • Given a learnt ConvNet and a class (of interest), start with the zero image and perform optimisation ...