FractalNet
FractalNet
**FractalNet** is a type of convolutional neural network that eschews [residual connections](https://paperswithcode.com/method/residual-connection) in favour of a "fractal" design. They involve repeated application of a simple expansion rule to generate deep networks whose structural layouts are precisely truncated fractals. These networks contain interacting subpaths of different lengths, but do not include any pass-through or residual connections; every internal signal is transformed by a filter and nonlinearity before being seen by subsequent layers.
FractalNet: Ultra-Deep Neural Networks without Residuals
https://paperswithcode.com/paper/fractalnet-ultra-deep-neural-networks-without
FractalNet: Ultra-Deep Neural Networks without Residuals