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The code (tensorflow backend)
```
m = keras.models.Sequential()
m.add(keras.layers.convolutional.Convolution2D(1, 3, 3, border_mode='same', input_shape=(None, None,1)))
m.add(keras.layers.convolution…
owang updated
7 years ago
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I having trouble with the input for the convolution2D net. I have 2 samples of dimension 1x12 and a convolution layer with 5 filters and kernel of 1x3. My data looks like
```
data=np.array([[ 0.06598…
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Hi @pkmital
Thanks a lot for the great collection.
Regarding to convolutional autoencoder example, I was wondering how it would be possible to add maxpooling and maxunpoling layers?
The problem …
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Hello,
I apologize if this sounds like a trivial question but I could not find the required documentation on the wiki.
In another framework, I already have my own Denoising Convolutional Autoencoder…
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I upgraded the library but I got the similar problem..
When I type the following command,
dytb_train --model LeNet --dataset MNIST
> File "/home/dongwonshin/Desktop/venv/bin/dytb_train", line 5…
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I'm attempting to implement [Image Restoration Using Convolutional Auto-encoders with Symmetric Skip
Connections](http://arxiv.org/pdf/1606.08921v1.pdf) in Keras using the new Deconvolution2D layer.
…
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Hi,
I am using caffe-future for Fully Convolutional Networks. I am trying to work on a regression problem where the input to the FCN is an 256 X 256 image and the output that the FCN is supposed to p…
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We've be using URL references for two purposes:
1) Blog posts, online news articles, etc.
2) Conference papers
In both cases, do we need to add some additional information to the references? Cas…
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In image segmentation, if one image has N pixpels, the number of labels is also N(not one), so the Softmax operator in mxnet can't handle it(just my opinion);
I want solve it through:
1. add a new…
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- [x] Линейные модели и градиенты. Feature extraction. "А что если фичи сами себя найдут" Biological inspiration. Unsupervised feature learning. RBM, PCA, всё в scikit-learn
- [x] Intro (s4 theano). …