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The problem is that the argument of Resize2D:`model.get_node('conv_1').output_shape` is not a constant, so it can not be dumped into a json string.
I may use an integer to trace back to the specifi…
ypxie updated
7 years ago
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When running command **python cntkDemo.py** on Ubuntu 14.04, I got following errors:
> OpenBLAS : Your OS does not support AVX instructions. OpenBLAS is using Nehalem kernels as a fallback, which m…
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I saw the mention on issue number 60 about automatic tensor size calculation, where it's suggested that it would necessitate a change in the API. I've been thinking about this recently.
I've been hav…
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Hi, there
I write a OOP schema cnn model, but there is some error when predict. I know that if define Variable and write the code like `c` style in one file, it is easy to restore the value, but i…
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Hello, in accordance with the Segnet architecture, there are two convolutional layers connecting with each other befor attaching another maxpooling layer in each building block, as shown in the follow…
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Hi,
I am not able to understand your motivation behind using pool length of only 2 in maxpooling layer.
In the paper, authors have used global max pooling, i.e. maximum activation from each feat…
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Hi guys, I am writing a LRCN with keras. I built my model like this:
```
vgg_model = VGG16(weights='imagenet', include_top=False)
model = Sequential()
model.add(TimeDistributed(vgg_mod…
ghost updated
7 years ago
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Dear all,
I am trying to replicate the network provided in "Constitutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding" using the cn24 library.
I am havin…
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Hi, with respect to this segnet model, we can see that in each building block of encoder part, there are always two convolutional layers following each other before a maxpooling layer. For instance,
…
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To generate dense feature maps (e.g. semantic segmentation) the convolution and the maxpooling operators should have the option to define "holes" in the kernel.
The concept is used in the paper:
Sema…