Neural Networks

Residual Connections

Shortcut paths that allow information to skip one or more network layers.

A residual connection adds the input of a block directly to its output. This gives information and gradients a shorter route through the network.

Residual connections made it practical to train very deep architectures by reducing degradation and vanishing-gradient problems. They are used in ResNets, transformers and many other modern networks.

Also in Neural Networks

Perceptron Backpropagation Feed Forward Hopfield Network Boltzmann Machine Self Organising Maps

Apply

Begin the first module

Become AI native, it is the real deal today, and if it is not for you, you have lost nothing but learnt a new skill.

Apply