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Hi, I am unable to get a regression network with multiple outputs to work using UCIFastReader. Is this possible?
If I define a network with 2 output nodes like:
SimpleNetworkBuilder = [
l…
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Hi, I have successfully compiled yours caffe-windows witch matcaffe interface. I also try build caffe-future to use witch Fully Convolutional Networks (https://github.com/longjon/caffe/tree/future), I…
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Hi all,
I would like to implement [1] using matconvnet. This paper uses a layer called "Deconvolution" which can be readily added by using a layer with type 'convt' in matconvnet. But, they have initi…
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Before implementing convolutional neural network, I suggest that we could implement multiplayer perceptron first.
There're some implementations of multilayer perceptron.
1. C version : Neural Network…
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Google's TensorFlow benchmarks are here!
I've run the benchmarks on the Imagenet Winners.
When I saw issues with the numbers, memory etc., I emailed @Yangqing to confirm what I'm seeing, and that it…
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The Spatial Pyramid Pooling net of #548 improves the speed of [Regions with Convolutional Neural Network Features](https://github.com/rbgirshick/rcnn) by extracting features for each image only once w…
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Is caffe can implement the GoogleNet, which is excited me.
The 9 Inception modules seems very difficult....
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Hi all,
I understand that you can obtain the probabilites by replacing the 'softmax loss' by 'softmax' at the end on a sample by sample basis.
However, if i were to do the same on a pixel by pixel b…
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Hello!
If I can use a convolution using double-precision floating point numbers?
I tried to use it modifying the examples but failed.
Don't you have a integer arithmetic convolutional layer?
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