Update README.md

Author: sgrvinod

README.md

@@ -472,7 +472,7 @@ __Can I use pretrained word embeddings (GloVe, CBOW, skipgram, etc.) instead of
 
 Yes, you could, with the `load_pretrained_embeddings()` method in the `Decoder` class. You could also choose to fine-tune (or not) with the `fine_tune_embeddings()` method.
 
-After creating the Decoder in [`train.py`](<https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning/blob/master/eval.py), you should provide the pretrained vectors to `load_pretrained_embeddings()` stacked in the same order as in the `word_map`. For words that you don't have pretrained vectors for, like <start>, you can initialize embeddings randomly like we did in `init_weights()`. I recommend fine-tuning to learn more meaningful vectors for these randomly initialized vectors.
+After creating the Decoder in [`eval.py`](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning/blob/master/eval.py), you should provide the pretrained vectors to `load_pretrained_embeddings()` stacked in the same order as in the `word_map`. For words that you don't have pretrained vectors for, like <start>, you can initialize embeddings randomly like we did in `init_weights()`. I recommend fine-tuning to learn more meaningful vectors for these randomly initialized vectors.
 
 ```python
 decoder = DecoderWithAttention(attention_dim=attention_dim,
@@ -500,4 +500,4 @@ With the release of PyTorch `0.4`, wrapping tensors as `Variable`s is no longer
 
 __How do I compute all BLEU (i.e. BLEU-1 to BLEU-4) scores during evaluation?__
 
-You'd need to modify the code in [`eval.py`](<https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning/blob/master/eval.py) to do this. Please see [this excellent answer](<https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning/issues/37#issuecomment-455924998>) by [kmario23](<https://github.com/kmario23>) for a clear and detailed explanation.
+You'd need to modify the code in [`eval.py`](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning/blob/master/eval.py) to do this. Please see [this excellent answer](<https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning/issues/37#issuecomment-455924998>) by [kmario23](<https://github.com/kmario23>) for a clear and detailed explanation.