Row 2154

Row ID: 2154 | Dataset Entry | Axioma AXP Content Repository

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Hello how can I design a simple encoder-decoder based model that only uses the GRU network. And for the word layer embedding, I'd like to use Vec2Word or FastText vectors. I'm new to NLP and TensorFlow and I just need some clues to understand how to design the sequence layers and I have already preprocessed the dataset. I have reviewed a lot of Github codes and research papers, what I don't understand is how to use tensorflow v2 to design the model and train it! Thanks a lot.

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text Hello how can I design a simple encoder-decoder based model that only uses the GRU network. And for the word layer embedding, I'd like to use Vec2Word or FastText vectors. I'm new to NLP and TensorFlow and I just need some clues to understand how to design the sequence layers and I have already preprocessed the dataset. I have reviewed a lot of Github codes and research papers, what I don't understand is how to use tensorflow v2 to design the model and train it! Thanks a lot.
label r/tensorflow
dataType post
communityName r/tensorflow
datetime 2023-07-03
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Raw Record

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  "text": "Hello how can I design a simple encoder-decoder based model that only uses the GRU network. And for the word layer embedding, I'd like to use Vec2Word or FastText vectors. I'm new to NLP and TensorFlow and I just need some clues to understand how to design the sequence layers and I have already preprocessed the dataset. I have reviewed a lot of Github codes and research papers, what I don't understand is how to use tensorflow v2 to design the model and train it! Thanks a lot. ",
  "label": "r/tensorflow",
  "dataType": "post",
  "communityName": "r/tensorflow",
  "datetime": "2023-07-03",
  "username_encoded": "Z0FBQUFBQm5LakwwbU93aTliT3VaTEVXbjhpRG5tc3Rta1pJWGFvdGNRRnFYZjJ0NlZpbWpScDgxZGtLR2tucUY3T2tvWlc1Mm5OUFhxSHFIT3BDcTZOZXJKRVAwTnVkLWc9PQ==",
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}
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