1x1 Convolutional Layer

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A 1x1 Convolutional Layer is a convolutional layer with a 1x1 convolution kernel.



References

2018

  • https://www.quora.com/What-does-a-1x1-convolutional-layer-do
    • QUOTE: A 1x1 convolution matrix essentially squashes the depth dimension of an input volume ( W x H x D) leaving its width and height intact ( W x H x 1). An n x n convolution matrix, in comparison, not only squashes the depth dimension of an input volume - it could, based on its dimensions, input volume dimensions and pad values, alter the width and height of the input volume too.

2017

2013