Questions about word-embedding
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Problem while creating the NLP model using tensorflow?
I have created a spam classifier model using tensorflow.. ( tokenization , embedding layer and lstm ).
model=Sequential()
model.add(Embedding(voc_size,32,input_length=sent_len))
model.add(LSTM(units=1...
Nitish Pandey
Votes: 0
Answers: 0
How to use Embedding Layer along with textvectorization in functional API
Just starting on tensorflow
Working on imdb dataset. Process: Text encoding using textvectorization layer and passing it to embedded layer:
# Create a custom standardization function to strip HTML bre...
Jay ra1
Votes: 0
Answers: 1
Fasttext model representations for numbers
I would like to create a fasttext model for numbers. Is this a good approach?
Use Case:
I have a given number set of about 100.000 integer invoice-numbers.
Our OCR sometimes creates false invoice-numb...
AkionoWan
Votes: 0
Answers: 1
How to compare the "Betterness" of Embedding based on changed parameters in Gensim Word2Vec
TL;DR: How to compare the betterness of two Word2Vec Embedding which have different set of parameters?
I am using Gensim to train my data on a Vocab of around 2 Million sentences and a vocab of 200K w...
Deshwal
Votes: 0
Answers: 1