[GAN] **Before GAN: sparse coding

读罢[UFLDL] ConvNet，为了知识体系的完整，看来需要实战几篇论文深入理解一些原理。

如下是未来博文系列的初步设想，为了hold住 GAN而必备的知识体系，也是必经之路。

[Paper] Before GAN: sparse coding

[Paper] Before GAN: Zeiler M D, Krishnan D, Taylor G W, etal. Deconvolutional networks[C]. Computer Vision and Pattern Recognition, 2010.

[Paper] Before GAN: Zeiler M D, Taylor G W, Fergus R, etal. Adaptive deconvolutional networks for mid and high level featurelearning[C]. International Conference on Computer Vision, 2011.

[Paper] Before GAN: Zeiler M D, Fergus R. Visualizing andUnderstanding Convolutional Networks[C]. European Conference on ComputerVision, 2013.

Extended:

CVPR'17 Tutorial, Deep Learning for Objects and Scenes, Hawaii Convention Center, Hawaii July 21 PM, 2017

Learning Deep Features for Discriminative Localization

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