Working with DenseNet part5(Machine Learning)
Invertible DenseNets(arXiv) Author : Yura Perugachi-Diaz, Jakub M. Tomczak, Sandjai Bhulai Abstract : We introduce Invertible Dense Networks (i-DenseNets), a more parameter efficient alternative to Residual Flows. The method relies on an analysis of the Lipschitz continuity of the concatenation in DenseNets, where we enforce the invertibility of the network…
Working with DenseNet part5(Machine Learning) Invertible DenseNets(arXiv) Author : Yura Perugachi-Diaz, Jakub M. Tomczak, Sandjai Bhulai Abstract : We introduce Invertible Dense Networks (i-DenseNets), a more parameter efficient alternative to Residual Flows. The method relies on an analysis of the Lipschitz continuity of the concatenation in DenseNets, where we enforce the invertibility of the network… deep-learning
Working DenseNet part5Machine Learning Invertible DenseNetsarXiv Author Yura PerugachiDiaz Jakub Tomczak Sandjai Bhulai Abstract introduce Invertible Dense Networks iDenseNets parameter efficient alternative Residual Flows method relies analysis Lipschitz continuity concatenation DenseNets enforce invertibility network… deeplearning