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Hi, thank you very much for sharing your code. I am little confused that about the network depicted in the paper and code.
```
um_in = tf.concat([hg_outs, hm_out, hm3_out], axis=-1…
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Hello,thank you for your code!
when i am training ,there is no error .but can not train.
CUDA devices:
GPU numbers: 1
Create or load an imdb.
Loaded dataset `voc_2007_trainval` for training
…
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Hi, I have read the post about investigating Residual networks (http://torch.ch/blog/2016/02/04/resnets.html), and I am wondering if concatenating the residual (instead of adding) would result in a be…
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- KaimingHe/deep-residual-networks issues/39
- Support ResNet reference models for ILSVRC (beniz/deepdetect pull/60)
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I see two open issues related to `minimum_cut` but I have just encountered yet another problem. The function claims to return a partition `(left, right)` where `left` contains all nodes reachable from…
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I trained a model of ResNet on ImageNet and get a model file. I use the model file to finetune ResNet for Oxford102, but the network doesn't converge. The loss is between [4.63,4.65]. Here is my code:…
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related paper
|摘要|
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|The trend towards increasingly deep neural networks has been driven by a general observation that increasing depth increases the performance of a network. Recently, howe…
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Why should build from source when using Residual Attention Network?
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Hello,
I'm Sebastian, working on my MSc thesis, aiming to create a knowledge graph of the wastewater treatment microbiome. We're using Netcomi for constructing Microbial Association Networks (MANs)…
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Hello! Nice simple version of data2vec2. Thank you for sharing! I realized the decoder network is not doing the residual connections correctly. Since you append each layer, you are doing the residual …