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Convolutional Neural Network
Primarily used for image tasks such as computer vision or image generation,
though they can be used anywhere you have a rectangular grid with spatial relationship among your data.
Convolutions
Pytorch Convolution Layers
Here, we will explain 2d convolutions.
Suppose we have the following input image:
and the following 3x3 kernel:
For each possible position of the 3x3 kernel over the input image,
we perform an element-wise multiplication (\(\displaystyle \odot\)) and sum over all entries to get a single value.
Stride
Padding
Dilation
Groups
Types of Convolutions
Transpose Convolution=
