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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on network, graph, or tabular data.
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The hell that is due by February 12th.
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I would like to have layers that allows you to build an encoder/decoder structures in Lasagne.
These layers are very similar to regular RNNs but with a few differences depending on the variant.
Here…
skaae updated
8 years ago
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When I tried to train with the ani2x dataset with ani2 nnp, I ran into an issue of indices out of bounds (max bounds should be 6, given there are maximum of 7 atom types). The translation from orig…
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Kindly assist. Failing to run the grobid fulltext processor getting below are the errors from my log:
2024-05-06 16:04:21,633 ERROR: Error processing after-appointment.pdf: Grobid returned None
20…
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@matentzn et al. published a very useful article a few (well, ok, 6) years ago:
> Matentzoglu, N., Malone, J., Mungall, C. et al. MIRO: guidelines for minimum information for the reporting of an onto…
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Please close this if it is inappropriate
It seems that benchmarking of [RNN/LSTM](https://www.youtube.com/watch?v=56TYLaQN4N8) is a worthwhile thing to do now as these things are getting amazing resu…
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- [ ] Make a chapter4.md file
- [ ] Create a summary in the .md file
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project title** :Laptop Price Predictor
:red_circle: **Dataset** :kaggle
:red_circle: **Approach** :
To predict lapt…
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在使用 `deepxde` 训练的时候,为了测试一些极端情况,我经常把输入数据设置的极小(接近0)或者超过几百,或者有些写了错误的边界条件、初始条件,这时候训练模型`Train loss`和`Test loss`会出现`nan`,并且立刻停止训练。出现这种情况一般需要截断误差,即如果一旦损失值超过某个界限[lossmax],就直接截断,取预先设定的值。规范化 PDE或分配损失权重( normali…