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The variational_autoencoder_deconv example is from keras version 1.2.2
The errors:
```
RuntimeError: GpuDnnConvGradI: error getting worksize: CUDNN_STATUS_BAD_PARAM
Apply node that caused the err…
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在训练一个简单的三层结构的autoencoder时,出现网络的参数size的问题。整个网络结构的代码如下,为什么会出现参数数量不一致错误?
input_layer_dim = 100
hidden_layer_dim = 1024
The network structure is as follow:
```python
input_attr = ParamAttr(name…
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Hey @okuchaiev I've been doing some experiments with the movielens dataset 20M, everything is in 1 GPU P100, wd=0, selu, sdg with momentum and the other default options, here the results:
```
300 ep…
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# RNN_6_big
## device name 으로만 했을 때
* real_value_with_test_set
![rnn_6_big_real_value_with_test_set](https://user-images.githubusercontent.com/22609242/29956041-4d93d8e0-8f1f-11e7-89e4-f5eca8…
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## Environment info
Operating System:
CentOS 6.6
Compiler:
gcc-4.8
Package used (Python/R/Scala/Julia):
Python
MXNet version:
Or if installed from source:
from source
MXNet commit …
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I've implemented a sparsity regularizer which seems to be working. If there's interest and someone can offer guidance, I can modify it as needed before submitting a pull request. I'd have it done fair…
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Hi, I'm new to the area of deep learning, so please forgive if I get some terminology wrong.
I'm trying to train a Fully Convolution Network (FCN) to perform semantic segmentation. I am attempting to…
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Hello!
Currently I was reviewing many libraries. EJML, is by far the easiest and best designed. I think EJML, can become very accepted if contemplates Sparse Matrices, as they are widely used by the s…
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I know that there is the AutoEncoder layer, however important concepts such as DBNs + RBMs are not implemented. Is keras intended to be a framework for purely supervised learning methods? If not, I co…
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@fchollet provides a fantastic blog post introducing Autoencoders named [Building Autoencoders in Keras](http://blog.keras.io/building-autoencoders-in-keras.html). The convolutional Autoencoder is int…