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Fix two small typos #91

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Fix two small typos #91

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4 changes: 2 additions & 2 deletions the_annotated_transformer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -199,7 +199,7 @@ def step(self):
# comprehension, abstractive summarization, textual entailment and
# learning task-independent sentence representations. End-to-end
# memory networks are based on a recurrent attention mechanism instead
# of sequencealigned recurrence and have been shown to perform well on
# of sequence-aligned recurrence and have been shown to perform well on
# simple-language question answering and language modeling tasks.
#
# To the best of our knowledge, however, the Transformer is the first
Expand Down Expand Up @@ -1852,7 +1852,7 @@ def average(model, models):
#
# > With the addtional extensions in the last section, the OpenNMT-py
# > replication gets to 26.9 on EN-DE WMT. Here I have loaded in those
# > parameters to our reimplemenation.
# > parameters to our reimplementation.

# %%
# Load data and model for output checks
Expand Down