MIT LIDS/Boston University; D-INFK, ETH Zürich; CEMSE, KAUST
Alexandru Meterez, Amir Joudaki, Francesco Orabona, Alexander Immer, Gunnar Ratsch, Hadi Daneshmand
mlp;batch-normalization;optimization;depth;calculus;theory;deep-learning;non-asymptotic
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion