Residual network (ResNet)

Residual Network (ResNet) is a type of convolutional neural network (CNN) that uses skip connections or shortcuts to jump over some layers. These connections help solve the vanishing gradient problem by allowing gradients to flow through the network more effectively, enabling the training of much deeper networks. ResNet models are widely used in image recognition and classification tasks.