-
Hi,
I found out about Caffe-future from the paper Fully Convolutional Neural Networks (found the link from model-zoo). I am trying to work on a regression problem where the input to the CNN is an 256…
ghost updated
8 years ago
-
I would like to obtain the activation of every SOM unit for a given input, i.e., not just the MAU/BMU.
I see from the comment here https://github.com/peterwittek/somoclu/issues/39#issuecomment-23597…
-
Hi, I'm trying to create a NN like :
``` C++
nn
-
After updating TensorFlow to the most recent source yesterday (I'm at b1cabed4e60015602dacd66ea39d419db50c3e1b), I've noticed that while GPU utilization frequently appears much higher in nividia-smi t…
-
The way the `UnitNorm` and `MaxNorm` constraints work is currently somewhat different, and problematic on certain layer types. For example if one wanted unit-norm convolutional filters weights, these …
-
I am so interested in your method that I had to ask another following issue:
Hyperparameter Optimization
"To optimize hyperparameters, we used random search. The hyperparameters
of all methods were o…
-
@happynear Thanks a lot for your work. I tried this with my own data and networks (1 convolutional + 2 fully connected), finding using gpu+cuDNN v3 is much slower than using gpu only (Time: CPU>>GPU+…
-
Hi, thanks for adding the fully convolutional networks for semantic segmentation!
Is it currently possible to train / finetune these models using matconvnet? i.e, what would be the appropriate loss fu…
-
To use https://github.com/szagoruyko/loadcaffe with clnn convolution needs groups support (for most of the networks).
An example is in cudnn: https://github.com/soumith/cudnn.torch/blob/master/Spatial…
-
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…