The learnability window of a gated RNN grows with dataset size at a rate fixed by the decay of an effective learning-rate envelope and by the tail index of gradient noise.
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Learnability Window in Gated Recurrent Neural Networks
The learnability window of a gated RNN grows with dataset size at a rate fixed by the decay of an effective learning-rate envelope and by the tail index of gradient noise.