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Hello!
I followed the "Deep Network Comparison" tutorial: I put the DenseNet code block and all other code blocks (except for RegularNet, ResNet, and HighwayNet) into a python file, and tried to run …
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Hi xiong, I used your densnet core code and fit it to the form as `incubator-mxnet/example/image-classification/symbol`, then I write the train code for distribute train(because memory of my GPUs is n…
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Probably start with Xception and DenseNet
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It appears that:
Traceback (most recent call last):
File "main.py", line 110, in
main()
File "main.py", line 106, in main
selfie(gpu_id, input_reader, model_name, total_epochs, bat…
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Hi,
I could not run densenet_layer.py since it throws import error of the module layer.
**Traceback (most recent call last):
File "densenet_layer.py", line 6, in
import layer
ImportEr…
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Hello,
Thank you for your code. However, I could not find the trainNetwork function or specifically your UATC-DenseNet code. Can you please share that with me? It would be of much help.
Thanks.
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At the time of writing, DenseNet is implemented in this benchmark with what is described as the "naive" implementation in [Memory-Efficient Implementation of DenseNets](http://arxiv.org/abs/1707.06990…
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Hello, I have one question when training denseNet: the validation loss get a sharp decrease than increase after learning rate changed from 0.1 to 0.01
I trained the densenet (depth_40_k_12) on cifar1…
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related paper
|摘要|
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|State-of-the-art approaches for semantic image segmentation are built on Convolutional Neural Networks (CNNs). The typical segmentation architecture is composed of (a) a…
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整个代码跑出来来结果挺好,为什么单独测试densenet效果不好?