김성주

fixed readme

......@@ -81,7 +81,7 @@ vocab_size = len(words) + 1
embedding_matrix = np.zeros((vocab_size, 384))
for i in range(len(words)):
word - words[i]
word = words[i]
if word in model:
embedding_matrix[i] = model[word]
......