metadata

title: Pooling Layer

Pooling

Layer type: Pooling
Doxygen Documentation
Header: ./include/caffe/layers/pooling_layer.hpp
CPU implementation: ./src/caffe/layers/pooling_layer.cpp
CUDA GPU implementation: ./src/caffe/layers/pooling_layer.cu
Input
- n * c * h_i * w_i
Output
- n * c * h_o * w_o, where h_o and w_o are computed in the same way as convolution.

Parameters

Parameters (PoolingParameter pooling_param)
- Required
  - kernel_size (or kernel_h and kernel_w): specifies height and width of each filter
- Optional
  - pool [default MAX]: the pooling method. Currently MAX, AVE, or STOCHASTIC
  - pad (or pad_h and pad_w) [default 0]: specifies the number of pixels to (implicitly) add to each side of the input
  - stride (or stride_h and stride_w) [default 1]: specifies the intervals at which to apply the filters to the input
From ./src/caffe/proto/caffe.proto:

{% highlight Protobuf %} {% include proto/PoolingParameter.txt %} {% endhighlight %}

Sample

Sample (as seen in ./models/bvlc_reference_caffenet/train_val.prototxt)

layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3 # pool over a 3x3 region
    stride: 2      # step two pixels (in the bottom blob) between pooling regions
  }
}