Can I read Understanding Transposed Convolution on EtoBox?

Understanding Transposed Convolution by Shrivathsatv Shri is a document available to read on EtoBox.

What is Understanding Transposed Convolution about?

The transposed convolutional layer performs upsampling to increase the spatial dimensions of the output feature map compared to the input. It works by first inserting zeros between rows and columns of the input to increase its size, then padding the modified input and performing a standard convolution with stride of 1. The transposed convolution allows the network to learn how to upsample feature maps during training.

Author

Shrivathsatv Shri

Language

EN