add description of code link

Author: MorvanZhou

BERT.py

@@ -1,7 +1,7 @@
 # [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/pdf/1810.04805.pdf)
 import numpy as np
 import tensorflow as tf
-import utils
+import utils    # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 import time
 from GPT import GPT
 import os

BERT_window_mask.py

@@ -1,6 +1,6 @@
 import tensorflow as tf
 from GPT import GPT, train, export_attention
-import utils
+import utils    # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 
 
 class BERT(GPT):

CBOW.py

@@ -1,8 +1,8 @@
 # [Efficient Estimation of Word Representations in Vector Space](https://arxiv.org/pdf/1301.3781.pdf)
 from tensorflow import keras
 import tensorflow as tf
-from utils import process_w2v_data
-from visual import show_w2v_word_embedding
+from utils import process_w2v_data  # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
+from visual import show_w2v_word_embedding  # this refers to visual.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 
 corpus = [
     # numbers

ELMo.py

@@ -1,8 +1,7 @@
 # [Deep contextualized word representations](https://arxiv.org/pdf/1802.05365.pdf)
 from tensorflow import keras
 import tensorflow as tf
-import numpy as np
-import utils
+import utils    # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 import time
 import os
 

GPT.py

@@ -1,7 +1,7 @@
 # [Improving Language Understanding by Generative Pre-Training](https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf)
 import tensorflow as tf
 from tensorflow import keras
-import utils
+import utils    # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 import time
 from transformer import Encoder
 import pickle

cnn-lm.py

@@ -3,7 +3,7 @@
 import tensorflow as tf
 from tensorflow import keras
 import numpy as np
-import utils
+import utils    # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 import tensorflow_addons as tfa
 
 

seq2seq.py

@@ -2,7 +2,7 @@
 import tensorflow as tf
 from tensorflow import keras
 import numpy as np
-import utils
+import utils    # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 import tensorflow_addons as tfa
 
 

seq2seq_attention.py

@@ -2,7 +2,7 @@
 import tensorflow as tf
 from tensorflow import keras
 import numpy as np
-import utils
+import utils    # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 import tensorflow_addons as tfa
 import pickle
 

skip-gram.py

@@ -1,8 +1,8 @@
 # [Efficient Estimation of Word Representations in Vector Space](https://arxiv.org/pdf/1301.3781.pdf)
 import tensorflow as tf
 from tensorflow import keras
-from utils import process_w2v_data
-from visual import show_w2v_word_embedding
+from utils import process_w2v_data      # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
+from visual import show_w2v_word_embedding  # this refers to visual.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 
 corpus = [
     # numbers

tf_idf.py

@@ -1,7 +1,7 @@
 import numpy as np
 from collections import Counter
 import itertools
-from visual import show_tfidf
+from visual import show_tfidf   # this refers to visual.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 
 docs = [
     "it is a good day, I like to stay here",

tf_idf_sklearn.py

@@ -1,6 +1,6 @@
 from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import cosine_similarity
-from visual import show_tfidf
+from visual import show_tfidf   # this refers to visual.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 
 
 docs = [

transformer.py

@@ -2,7 +2,7 @@
 import tensorflow as tf
 from tensorflow import keras
 import numpy as np
-import utils
+import utils    # this refers to utils.py in my [repo](https://github.com/MorvanZhou/NLP-Tutorials/)
 import time
 import pickle
 import os