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Title of paper as clickable link #27723

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5 changes: 2 additions & 3 deletions tensorflow/python/ops/rnn_cell_impl.py
Expand Up @@ -1198,9 +1198,8 @@ def __init__(self, cell, input_keep_prob=1.0, output_keep_prob=1.0,

If `variational_recurrent` is set to `True` (**NOT** the default behavior),
then the same dropout mask is applied at every step, as described in:

Y. Gal, Z Ghahramani. "A Theoretically Grounded Application of Dropout in
Recurrent Neural Networks". https://arxiv.org/abs/1512.05287
[A Theoretically Grounded Application of Dropout in Recurrent
Neural Networks. Y. Gal, Z. Ghahramani](https://arxiv.org/abs/1512.05287).

Otherwise a different dropout mask is applied at every time step.

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