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目的：验证现有模型预测深度的可靠性，为是否进一步改良模型提供依据。
- [x] Quantitative Evaluation, 量化方法，与其他方式对比
重现已有模型，根据评估误差横向评估
需要输出图像达到256x256
2.- [ ] Deeper Depth Prediction with Fully Convolutional Residual Networks upsamplin…
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From 311 self-play games I generated so far, I counted 157 draws, 139 white wins, and 15 black wins. This strikes me as odd, considering that the first move advantage should be worth very little for a…
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https://arxiv.org/abs/1611.05431
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## Description
see: https://github.com/zhanghang1989/MXNet-Gluon-Style-Transfer/issues/2
within https://github.com/apache/incubator-mxnet/tree/master/example/gluon/style_transfer
There are a numbe…
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Hi,
My name is Yohan YU, your developer of this repository. Right now, I'm able to run a volta instance on the cloud, let's see how it goes. I will keep updating in a week.
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I have noticed that
from tflearn.data_augmentation import ImageAugmentation
has provided an method to get data augmentation, but how can i use it, when i am training my net？
For example i read dat…
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This time I properly interleaved the chunks and we're back to our trusty sudden drop in MS…
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Hello,
I would like to ask if current API of datasets allows for implementation of oversampling algorithm? I deal with highly imbalanced class problem. I was thinking that it would be nice to oversam…
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I've been working for a while in this kind of AZ projects. I started even this project some months ago: https://github.com/Zeta36/chess-alpha-zero
And I have a doubt I'd like to ask you. It's about…
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Since you have replicated the paper, do you believe whether the strength of Go Zero is due to the Algorithm or the computer power that google use? I mean do they invented any new Algorithms?