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When I run your Recurrent Neural Network.ipynb, I get the following error:
```
InvalidArgumentError Traceback (most recent call last)
~/anaconda3/envs/AdaNet/lib/python3.5/si…
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I have been trying to predict the structure of a new sequence using the available pre-trained model (CASP11), but I've so far been unsuccessful in running the model. Note that I was equally unsuccessf…
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Server and client make successfully
But Something gets wrong when I run ./darknet_client:
![image](https://user-images.githubusercontent.com/20351890/83852047-c94bee00-a745-11ea-9226-2773988a094d.…
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### 🐛 Describe the bug
Mixed precision is not working with LSTM and torch.backends.cudnn.enabled =True on rocm.
Code example:
```
import torch
import torch.nn as nn
torch.backends.cudnn.ena…
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Confused about the shap_values not equal to the model output and how the shap deepExplainer deal with the multi input of the lstm ?
A minimal for debugging:
https://github.com/oshapeman/lstm-shap…
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I was trying to run tacotron gst on a single GPU, but it hangs, after outputting "Successfully opened dynamic library libcublas.so.10.0" nothing happens.
I am running the project on google colabora…
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I'm developing recurrent batch normalization for LSTM, and am seeing a best-case scenario of **8x slowdown** relative to base implementation (worst-case can **exceed 20x**). `tf.function` helps notabl…
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track change of tf
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Getting some strange error when using **bidirectional LSTM** in `tf.keras`. I have followed documentation of [bidriectional][1], but getting the error.
**Here is the code:**
rl = Resh…
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I am user macintosh
code
```
`import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, LSTM #, CuDNNLSTM
mnist …