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Hello. Can you please tell me how to describe a neural network with 2 hidden layers of 256 LSTM cells each and an output layer consisting of one LSTM unit ???
FunctionPtr classifierRoot = features…
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Currently, the LSTM model remembers 'k' features (words) at each time step. To improve the model
- Attention mechanism can be utilized to select only the attentive features (words) from the encodi…
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### 🐛 Describe the bug
The results of a LSTM with the built-in dropout aren't reproducible.
**Test 1 for built-in dropout:**
```python
import torch
seed = 42
ex = torch.ones(10,2).cuda()
…
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I am getting valuerror on my Juypter Lab and Vscode. This only work on Coblab.
ValueError: Unrecognized keyword arguments passed to Embedding: {'batch_input_shape': [32, None]}
def build_model(…
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### System information
Linux OpenSuse Tumbleweed
- TensorFlow installation : pip
- TensorFlow library : Tf-nightly, occurs on earlier versions too
### Code
Converting a model containing an …
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### Issue Description
AssertionError: The SHAP explanations do not sum up to the model's output! This is either because of a rounding error or because an operator in your computation graph was not fu…
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Hi Nika,
I am also interested in using CNN-LSTM architecture to detect deepfake videos. Thank you for your awesome work. I get a lot of benefits from it. Here I would like to ask you a question abo…
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Q1: What is windowed LSTM model?Is it the model that[ this paper ](http://iiis.tsinghua.edu.cn/~weblt/papers/window-lstm-morph-segmentation.pdf) presented?
Q2: How to transform the raw data li…
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While trying the CNN-LSTM-TDNN model for an upcoming conference, the model doesn't train (both train and test accuracy remains same for all epochs). However, when I change just the model to some other…