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## Row LSTM/Diagonal BiLSTM
### 结构
### 计算
inputs = torch.zeros(1, 1, requires_grad=True)
inputs.data = torch.rand(1, 1)
print('inputs', input…
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Thanks for your code, it helps me a lot. But I have some questions about data augmentation. In the `generate_train_lap_pry.m`, you only used downsizing to make more training data. While in the paper, …
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## ❓Question
I converted a simple nerual network containing LSTM from Pytorch to mlmodel, and set only the last fully-connected layer to be updatable. Using this updatable model, **I can run predicti…
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Dear Kyle,
Thanks for your amazing work on CT data processing domain.
I tried to use your projector module as part of my NN for training as below.
But with this, it will pop out illeage error …
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Greetings.
Wonderful work! I've been reading your paper have have a few things I want to discuss.
To start with, I've noticed that in the discussion part in your paper, you mentioned $\mathrm{R}…
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Hello,
In Numerical Input Features and Encoders
"the raw float values coming from the input placeholders are passed through a single neuron for scaling purposes"
Does this model is capable of de…
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Hello @xiaoshengli
Congratulations for the great work and thank you for making the code open-source.
I was trying to use your code to classify the data. The data is weather data with 14 feature…
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Comment below with questions or thoughts about the reading for [this week's workshop](https://github.com/uchicago-computation-workshop/Winter2020/tree/master/02-06_Boutyline).
Please make your comm…