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## 論文リンク
https://arxiv.org/abs/1803.11175
## 公開日(yyyy/mm/dd)
2018/03/29
## 概要
sentence level での embedding として、典型的なベンチマークである Deep Averaging Network (DAN) と Transformer Encoder を使ったモデルを TensorF…
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https://arxiv.org/abs/1803.11175
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https://tfhub.dev/google/universal-sentence-encoder/2
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## 一言でいうと
転移学習用の文エンコーダーを開発。精度は高いがリソースも食うTransformerモデルと、精度は劣るが効率が良いDAN(単語とbigramのベクトルを平均して伝搬するだけのモデル)を提供。 SkipThought的な前後文予測、対話、文書分類でマルチタスク学習をすることで作成している。
### 論文リンク
https://arxiv.org/abs/1803…
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### Discussed in https://github.com/mrdbourke/tensorflow-deep-learning/discussions/662
Originally posted by **moatednorth** July 31, 2024
Sequential api can't handle `hub.KerasLayer`
`
# C…
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## 0. Paper
[Universal Sentence Encoder](https://arxiv.org/abs/1803.11175)
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Ce ́spedes…
a1da4 updated
3 years ago
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https://www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder?hl=ja
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Hey huge fan of this project. I'm very interested in using this for my own corpus. I just came to ask if you had tried this project on another corpus where you fine tune the embeddings first and how …
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The testing for the universal sentence encoder takes up too much memory, so fails due to being 'killed' on circleci. So, since it passes locally in the same virtualenv setup as circleci, it has been c…
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I wonder if somebody use a word2vec model with ofxTensorflow2?
I found a model and tried to use it, but without success: https://tfhub.dev/google/Wiki-words-250-with-normalization/2
For now I use of…