Hands-On Convolutional Neural Networks with TensorFlow
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1x1 Convolution

This type of convolution initially might seem a bit odd, but the 1x1 convolutions are actually used to adapt depths, by merging them, without changing the spatial information. We use this type of convolution when we need to transform a volume depth into another (called squeezing or expanding) without losing spatial information: