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'The labels are then decided based on a threshold (a) for the percentage change (lt).' What is the method which can be used to set the value of the threshold?
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Another topic I would like to investigate (as always) is the convolution over structural data since language has structure.
Related works are Tree-structured Convolution and GCNs. Since we will com…
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related paper
|摘要|
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|The goal of precipitation nowcasting is to predict the future rainfall intensity in a local region over a relatively short period of time. Very few previous studies have…
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**Paper**
Character-level Convolutional Networks for Text Classification
**Introduction**
In the realm of text classification, most models have considered the words as the building blocks. This r…
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We now have the reasonable capacity to perform time series forecasting via reduction to regression. Some bespoke forecasting architectures would also be good to implement too, though.
@mloning thi…
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Hi @vagr8 . I am reading R_Unet_v1.py, and have a quick question between [line192-195](https://github.com/vagr8/R_Unet/blob/c6bd1a28f606d051c625cd8abff18fb2e8f4219a/models/R_Unet_v1.py#L192-L195):
``…
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Hi, just a quick question. How is the structure of the network in the main_conv_lstm.py??
If I understand correctly is that the network passed the image to the 4 layer of convolutional. Then to on…
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I am listing some research ideas we could look into after there is a first prototype. These may need to be split into seperate issues but for now it may be easier to group them:
1. Is processing a mu…
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Hi, @loliverhennigh ,
I got the following error. Any suggestion?
```
init network from scratch
WARNING:tensorflow:Passing a `GraphDef` to the SummaryWriter is deprecated. Pass a `Graph` object…
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### Feature
I kindly request the addition of support for the Kronecker-Factored Approximate Curvature (KFAC) optimization technique in LSTM and GRU layers within the existing KFAC Optimizer. Curren…