Skip Connections Eliminate Singularities
Skip connections made the training of very deep networks possible and have become an indispensable component in a variety of neural architectures. A completely satisfactory explanation for their success remains elusive. Here, we present a novel explanation for the benefits of skip connections in training very deep networks. The difficulty of training deep networks is partly due to the singularitie
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DSLT 1. The RLCT Measures the Effective Dimension of Neural Networks — LessWrong
DSLT 0. Distilling Singular Learning Theory — LessWrong
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