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Chapter-wise code/Code - PyTorch/7. Attention Models/1. NMT/NMT SetUp.md
@@ -15,6 +15,6 @@ We are going to have a great many of these inputs. One thing to note here is tha
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3. *Padding*: Pad the tokenized sequence to make the inputs of equal length.<br><br>
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<img src="./images/11. NMT setup-english.png" width="50%"></img><br><br>
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4. Repeat steps 1-3 for the German sentences as well.<br><br>
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-<img src="./images/11. NMT setup - german.png" width="50%"></img><br><br>
+<img src="./images/12. NMT setup - german.png" width="50%"></img><br><br>
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5. Keep track of index mappings with word2index and index2word mappings.
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5. Use start-of-sentence `<SOS>` and end-of-sentence `<EOS>` tokens to represent the same.
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