muhammedbuyukkinaci / tensorflow-sentiment-analysis-on-amazon-reviews-data Goto Github PK

The format of requirements file doesn't meet expected format for pip3 requirements file. You can generate content of this file automatically using pip3 freeze

All of the training underwent good on GPU Machine, but the training has been stopped before the training steps like for 18000 steps it is showing Training has finished. What was the issue?

The issue is Coming while involving 100-Dimensional GloVe Word Embeddings for this project.

Here i am using Notepad++
Traceback (most recent call last):
File "08_CPU_Optimized_LSTM.py", line 93, in
print(open(os.path.join(working_dir,EMBEDDING_FILE),'r' ).read())
File "C:\Users\AppData\Local\Programs\Python\Python35\lib\encodings\cp
1252.py", line 23, in decode
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 1215192:
character maps to

firstly thank you for your effort. Please, I have a question. I'm a little bit confused about why you are using the testing data for the validation process? Because as far as I know there should be training, validation, and testing. But I don't see that in your implementation!

Also, I want to ask if there is a way to visualize the attention weights in 11_Attention_GRU file?

Thanks