forked from mindspore-Ecosystem/mindspore
!16176 fix error link in nn/layer/lstm.py for master
From: @lvmingfu Reviewed-by: @gemini524,@wuxuejian,@liangchenghui Signed-off-by: @wuxuejian
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@ -80,7 +80,7 @@ class LSTM(Cell):
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Details can be found in paper `LONG SHORT-TERM MEMORY
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<https://www.bioinf.jku.at/publications/older/2604.pdf>`_ and
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`Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling
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<https://static.googleusercontent.com/media/research.google.com/zh-CN//pubs/archive/43905.pdf>`_.
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<https://static.googleusercontent.com/media/research.google.com/zh-CN/pubs/archive/43905.pdf>`_.
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Args:
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input_size (int): Number of features of input.
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@ -312,7 +312,7 @@ class LSTMCell(Cell):
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Details can be found in paper `LONG SHORT-TERM MEMORY
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<https://www.bioinf.jku.at/publications/older/2604.pdf>`_ and
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`Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling
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<https://static.googleusercontent.com/media/research.google.com/zh-CN//pubs/archive/43905.pdf>`_.
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<https://static.googleusercontent.com/media/research.google.com/zh-CN/pubs/archive/43905.pdf>`_.
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LSTMCell is a single-layer RNN, you can achieve multi-layer RNN by stacking LSTMCell.
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