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paper lists and information on mean-field theory of deep learning
Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.
Make your deep neural network Dynamically Isometric. Farewell to vanishing and exploding gradients