#include <mlpack/prereqs.hpp>#include "layer_types.hpp"#include <algorithm>#include "glimpse_impl.hpp"
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Classes | |
| class | mlpack::ann::MeanPoolingRule |
| class | mlpack::ann::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... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
| mlpack::ann | |
| Artificial Neural Network. | |
Detailed Description
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.
@article{CoRR2014,
author = {Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu},
title = {Recurrent Models of Visual Attention},
journal = {CoRR},
volume = {abs/1406.6247},
year = {2014},
url = {https://arxiv.org/abs/1406.6247}
}
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