glimpse.hpp File Reference
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class  Glimpse< InputDataType, OutputDataType >
 The glimpse layer returns a retina-like representation (down-scaled cropped images) of increasing scale around a given location in a given image. More...

class  MeanPoolingRule


Linear algebra utility functions, generally performed on matrices or vectors.
Artificial Neural Network.

Detailed Description

Marcus Edel

Definition of the GlimpseLayer class, which takes an input image and a location to extract a retina-like representation of the input image at different increasing scales.

For more information, see the following.

author = {Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu},
title = {Recurrent Models of Visual Attention},
journal = {CoRR},
volume = {abs/1406.6247},
year = {2014},
url = {}

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Definition in file glimpse.hpp.