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Hello,
I was going through your paper and code, and I found some issues:
1. The paper mentions that the input vector is originally (1476 x 1) dimensional. May I know, what's the logic behind addi…
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Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval(2022,多向量)
Topic-Grained Text Representation-based Model for Document Retrieval(2022,多向量)
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⚠️⚠️⚠️
I found out that this issue only happens in Keras version > 2.2.2 (so in 2.2.3 and 2.2.4 up to now).
I downgraded to version 2.2.2 (and Tensorflow 1.10.0) and the error doesn't happen any…
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-- Error message when loading
2022-12-08 10:12:23.587685: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-poin…
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![XHI{2UKJ{CT}~1U7D3D`JYH](https://user-images.githubusercontent.com/82443172/167637791-d8beb702-2323-4d06-a00a-ac348dcfe14a.png)
| Camera Model | { D455 } |
|…
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This will allow a single machine to run multiple workers
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Here's the code I've written:
```
model.add(LSTM(150,
input_shape=(64, 7, 339),
return_sequences=False))
model.add(Dropout(0.2))
model.add(LSTM(
200,
…
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Using SMILES makes this problem unnecessarily hard, likely detracting from the smoothness of the latent space and causing the majority of sampled SMILES to be invalid even after extended training. The…
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I'm implementing a CNN model, when I just have few layers, it works well. When I tried a deeper network, I can achieve a high performance (a small loss given during the training process) on training d…
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4D STEM data and other large-scale microscopy data benefit significantly from efficient and effective compression. As an example, packed 12 bit integers for K2IS data take about 1/3 of the space compa…