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Hello there,
what is the correct way to separate training from inference?
Is this correct?
I run the training first, save the embeddings.
Then I load a new graph and do the most similar?
```
…
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I find it is not easy to understand how does the nn works, e.g., the func 'QNet::SetupGraphInput()' and ' QNet::BuildNet()', so can you give more detailed instructions about the code? thanks a lot!
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Post questions here for one or more of our fundamentals readings:
Jurafsky, Daniel and James H. Martin. 2015. Speech and Language Processing. Chapters 15-16 (“[Vector Semantics](https://web.stanfor…
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@dennybritz
Hi ,
First of all many thanks for sharing your code. I am trying to use pretrained word embeddings instead of randomly initialized word embedings based on the vocabulary size.
My pre…
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First congratulations for the great work. As shown in the picture above I'm having pr…
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### Description
MF with CPU:
https://arxiv.org/abs/2005.09683
https://github.com/google-research/google-research/tree/master/dot_vs_learned_similarity
MF with PyTorch:
https://www.ethanrosent…
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**System information**
- Have I written custom code :
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installed from (source or binary): [DeepRec](https://github.com/alibaba…
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## Why
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発信のため、ここは **public** にしてあります。外部からの参加をご希望の方は松村(https://twitter.com/yu__ya4) まで DM を送るか、Wantedly …
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https://arxiv.org/pdf/1801.08284.pdf
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https://arxiv.org/abs/1704.03470
참고) https://github.com/chullhwan-song/Reading-Paper/issues/26 이논문 이후의 연구임.