double review (d2l-ai#1016)

Paramoeciu-bug · Nov 17, 2021 · 86afa3d · 86afa3d
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diff --git a/chapter_recurrent-modern/bi-rnn.md b/chapter_recurrent-modern/bi-rnn.md
@@ -164,7 +164,8 @@ $$
 \end{aligned}
 $$
 
-其中，权重$\mathbf{W}_{xh}^{(f)} \in \mathbb{R}^{d \times h}, \mathbf{W}_{hh}^{(f)} \in \mathbb{R}^{h \times h}, \mathbf{W}_{xh}^{(b)} \in \mathbb{R}^{d \times h}, \mathbf{W}_{hh}^{(b)} \in \mathbb{R}^{h \times h}$ 和偏置$\mathbf{b}_h^{(f)} \in \mathbb{R}^{1 \times h}, \mathbf{b}_h^{(b)} \in \mathbb{R}^{1 \times h}$都是模型参数。
+其中，权重$\mathbf{W}_{xh}^{(f)} \in \mathbb{R}^{d \times h}, \mathbf{W}_{hh}^{(f)} \in \mathbb{R}^{h \times h}, \mathbf{W}_{xh}^{(b)} \in \mathbb{R}^{d \times h}, \mathbf{W}_{hh}^{(b)} \in \mathbb{R}^{h \times h}$
+和偏置$\mathbf{b}_h^{(f)} \in \mathbb{R}^{1 \times h}, \mathbf{b}_h^{(b)} \in \mathbb{R}^{1 \times h}$都是模型参数。
 
 接下来，将前向隐状态$\overrightarrow{\mathbf{H}}_t$
 和反向隐状态$\overleftarrow{\mathbf{H}}_t$连接起来，

diff --git a/chapter_recurrent-modern/machine-translation-and-dataset.md b/chapter_recurrent-modern/machine-translation-and-dataset.md
@@ -261,9 +261,9 @@ def load_data_nmt(batch_size, num_steps, num_examples=600):
 train_iter, src_vocab, tgt_vocab = load_data_nmt(batch_size=2, num_steps=8)
 for X, X_valid_len, Y, Y_valid_len in train_iter:
     print('X:', d2l.astype(X, d2l.int32))
-    print('valid lengths for X:', X_valid_len)
+    print('X的有效长度:', X_valid_len)
     print('Y:', d2l.astype(Y, d2l.int32))
-    print('valid lengths for Y:', Y_valid_len)
+    print('Y的有效长度:', Y_valid_len)
     break
 ```