Beginning Anomaly Detection Using

n means a dilation factor of n. Default = 1.

• 

groups: Controls the connections between the input and output 

nodes. Groups=1 means all inputs correlate with all outputs. 

Groups=2 means there’s really two convolutional layers side by side, 

so half the inputs go to half the outputs. Default = 1.

• 

bias: Whether or not to use bias. Default = True.

 Conv2d

torch.nn.Conv2d()

Check out Chapter 

3

 for a detailed explanation on how the 2D convolutional layer 

works.

appendix B   intro to pytorch

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This layer is a two-dimensional convolutional layer. It basically passes a 2D filter over 

the input and multiplies the values element-wise to create the output feature map.

These are the parameters that the function takes:

• 

in_channels: The dimensionality of the input space; the number of 

input nodes.

• 

out_channels: The dimensionality of the output space; the number 

of output nodes.

•