Methods › General › Skip Connection Blocks
Skip Connection Blocks
The archive attaches this collection's text per method and the copies differ: 2 distinct texts across 38 of the 42 methods here. All are shown, most-carried first (a tie goes to the text carrying Papers with Code's collection boilerplate, then to the longer text); no vote is taken between them.
Text 1, carried by 25 of 42 methods:
Skip Connection Blocks are building blocks for neural networks that feature skip connections. These skip connections 'skip' some layers allowing gradients to better flow through the network. Below you will find a continuously updating list of skip connection blocks:
Text 2, carried by 13 of 42 methods:
Image Model Blocks are building blocks used in image models such as convolutional neural networks. Below you can find a continuously updating list of image model blocks.
Methods
All 42 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.