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related paper
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|Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture th…
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First, thank you for sharing of your worthy work.
Unlike normal ResNet consisting of stack of convolution layers, now I'm trying to apply residual connections on a network only consisting of FC lay…
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(1) I replaced different training sets, and this problem always occurred during training. The loss has been decreasing, but the highest PSNR value is often the beginning epoch.
![WechatIMG1811](htt…
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related paper
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|Semantic image segmentation is an essential component of modern autonomous driving systems, as an accurate understanding of the surrounding scene is crucial to navigatio…
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If we crop image size from 32 to 28 or some size different than 32, then after 1 epoch run there will be error 'ValueError: Cannot feed value of shape (128, 32, 32, 3) for Tensor u'InputData/X:0', whi…
lfwin updated
7 years ago
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I realize that your model is a bit different the original residual network. Do you train the residual network by yourself?
Is it possible the initialization model?
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Hello,
I am not sure if it is a bug or if I am doing something wrong. If I execute the code at the buttom I get the following warning:
Gradients do not exist for variables ['kernel', 'bias'] when …
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Hello,
Thanks for your great work. I run the train.py file and get the following questions:
1) The training use pairs of images. front-end use network to predict pose. and backend use PVGO based o…
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Hi Luke!
In your article on Medium [https://medium.com/gsi-technology/residual-neural-networks-in-python-1796a57c2d7](url) you mentioned:
_"_The original dataset from Deepsig.io comes in .hdf5 forma…
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Recently, we have received many questions regarding creating a large number of connections in go-redis. When a connection is deemed no longer available due to context or write/read timeouts, we remove…