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These are the papers I've added to the reference analysis, so you can choose some of them from here:
- GPU-based parallel genetic approach to large-scale travelling salesman problem
- GPU-based pa…
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I'd started reviewing the MLP class, and there are a couple of things that I need clarification/advice on:
- I was thinking adding the proper parameters to the back-propagation algorithms (for inst…
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hi there
is it possible to use DNC to train a classifier base on text?, encoding every work with an embedding of course.
thanks
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# How to recommend
We can recommend some papers for further discussion under this issue. Include a link to the paper + the conference name and other related information (like the abstract, some basic…
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The 7th session will be held on ~2016/11/18~2016/11/25.
Voting period for this session ends up on ~2016/11/13~2016/11/20.
We can vote/recommend papers in #3
Also, I can present the paper "Hybrid …
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Multi-GPU operation and data / model / hybrid parallelism are planned and in development for Caffe. The purpose of the thread is to focus the conversation, since this has been asked here, there, and e…
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Hi Folks,
I was really interested in some of the ideas that were mentioned on the ideas page. In particular, these seemed interesting:
- ODE solvers
- Implement Riemannian Manifold HMC
- Ext…
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Hi, I want to use the local or limited weight sharing for convolution, which means in different positions of the input image, the kernels are different. I am not sure whether this toolbox support it?
…
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```
Unify the feedforward, hopfield and som into a single solution. Use a
single neural network type, and different layer types. This will allow
"hybrid" neural networks to be created.
```
Original…
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I tried implementing OpenCL support and the code is at: https://github.com/napsternxg/neural-style/tree/opencl
However I get the following error when running the code:
```
$ $ th neural_style_opencl…