Stacked What-Where Auto-encoders

CoRR, Volume abs/1506.02351, 2015.

Cited by: 208|Bibtex|Views165
EI
Other Links: academic.microsoft.com|dblp.uni-trier.de|arxiv.org

Abstract:

We present a novel architecture, the "stacked what-where auto-encoders" (SWWAE), which integrates discriminative and generative pathways and provides a unified approach to supervised, semi-supervised and unsupervised learning without relying on sampling during training. An instantiation of SWWAE uses a convolutional net (Convnet) (LeCun...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments