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Update rnn-scratch.md #1370

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4 changes: 2 additions & 2 deletions chapter_recurrent-neural-networks/rnn-scratch.md
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Expand Up @@ -724,7 +724,7 @@ def train_epoch_ch8(net, train_iter, loss, updater, device, use_random_iter):
# state对于nn.GRU是个张量
state.detach_()
else:
# state对于nn.LSTM或对于我们从零开始实现的模型是个张量
# state对于nn.LSTM或对于我们从零开始实现的模型是包含多个张量的元组
for s in state:
s.detach_()
y = Y.T.reshape(-1)
Expand Down Expand Up @@ -785,7 +785,7 @@ def train_epoch_ch8(net, train_iter, loss, updater, device, use_random_iter):
# state对于nn.GRU是个张量
state.stop_gradient=True
else:
# state对于nn.LSTM或对于我们从零开始实现的模型是个张量
# state对于nn.LSTM或对于我们从零开始实现的模型是包含多个张量的元组
for s in state:
s.stop_gradient=True
y = paddle.reshape(Y.T,shape=[-1])
Expand Down
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