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# Building our model using an LSTM Recurrent Network
print('Building training model...')
hiddenStateSize = 256
hiddenLayerSize = 256
timesteps = 8
model = Sequential()
model.add(LSTM(hiddenSta…
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Hi, I am trying to create a autoencoder similar to the one in the keras blog [https://blog.keras.io/building-autoencoders-in-keras.html](url) my setup is the following:
```
keras version: '1.1.2'
…
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Hi,
I am using keras 0.3.2 and trying a simple LSTM model with hyperas.
But I get the following error. Anything wrong ?
**Exception: Layer is not connected. Did you forget to set "input_shape"?**
m…
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ImportError: cannot import name AsymmetricZeroPadding1D
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https://doi.org/10.1101/134205
> High resolution and high throughput, genotype to phenotype studies in plants are underway to accelerate breeding of climate ready crops. Complex developmental pheno…
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Please go to Stack Overflow for help and support:
https://stackoverflow.com/questions/tagged/tensorflow
If you open a GitHub issue, here is our policy:
1. It must be a bug or a feature reques…
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I've seen some one-hot encoders in Theano and Keras code sniplets, for example in this Char-RNN(/LSTM) snipplet:
https://github.com/fchollet/keras/blob/master/examples/lstm_text_generation.py#L42
Ve…
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Hi,
I developped a recurrent convolutionnal layer according to LSTM Network: A Machine Learning Approach for Precipitation Nowcasting (http://arxiv.org/pdf/1506.04214v1.pdf) for keras.
 wraps an attention mechani…