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### 論文へのリンク
[[arXiv:1906.01529] Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy](https://arxiv.org/abs/1906.01529)
### 著者・所属機関
Zhengwei Wang, Qi She, Tomas E. Ward
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Base on tiny-dnn, and refer to darknet and caffe, I rewrite a light-CNN which only uses CPU.
The following are some experimental results (I use a i7-6700 4cores 8threads, 8GB desktop).
1. MNIST, ach…
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I like this project a lot! This work shows a very practical and easy-following framework of buying bitcoins. The graphs and tables in the proposal are coherently shown, though I am not knowing much ab…
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If you are a current CMF student, mentor or alumni, drop a note here and please star this repo.
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In the lecture, we discussed the use of convolutional layers in autoencoders. I previously studied deep convolutional neural networks (CNNs), and I'm trying to understand the distinctions between the …
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# Dice Loss
## Reference
- [paper - V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation](http://campar.in.tum.de/pub/milletari2016Vnet/milletari2016Vnet.pdf)
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Hi
Thanks for your excellent works and sharing your code! I am very interested in your paper and would like to try it myself, wonder if you could add more details as to versions of all related mod…
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Hi,
As presented in Table 1 in the paper, I see some layers are called "recurrent conv". However, on the prototxt file specifying the models, I only see normal Caffe's "Convolution" layers. My ques…
nmduc updated
6 years ago
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@AlexeyAB I have seen gru.cfg and rnn.cfg in cfg folder If I use this file instead of v3 will it give higher accuracy. And If I want to add more layers in v3 is it possible? And how it differ from…
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