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layers.py, on which most of the nntools code is based, has always been geared towards feed-forward neural networks. We should look into recurrent neural networks as well. Personally I don't have a lot…
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Theano/Theano#3618 was recently merged, bringing some substantial performance improvements to conv2d. However, the new implementation is only used if `heano.tensor.nnet.abstract_conv2d.conv2d` is used…
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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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I found an MIT Licensed Convolutional Neural Network
https://github.com/siddharth950/Convolutional-Neural-Network/blob/master/convolutionalNeuralNetwork.py
It might be useful to include in sklearn/n…
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Specifically, is there an example of pretraining with an autoencoder for use with a convolutional neural network? If not, just a more generic pretraining example then?
Thanks!
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We have decided to try the following methods:
- Coates
- Common parts (Guido + rest)
- Resizing images
- Extracting random patches from images
- Optionally: whiten
- Output: a 3D ten…
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Hi,
I have a very simple theoretic question about the way convolution works in Caffe.
Let's take the fourth convolutional layer in the imagenet network - The input to this layer is a matrix of size …
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hi,
i want to implement convolution operation in my 3d convolutional neural network using fft... i have extended the Lenets 2d convolution code.. except that i wanted to use 3dconv_fft of this PR
fi…
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RoadSceneSegmentationFromASingleImage.pdf