FractalNet is a type of convolutional neural network that eschews residual connections 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.
Source: FractalNet: Ultra-Deep Neural Networks without ResidualsPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Object Recognition | 1 | 33.33% |
Translation | 1 | 33.33% |
Image Classification | 1 | 33.33% |