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Which loss function did you use during training, What is your model architecture.
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Hi. Thanks again for the wonderful work.
One thing that is extremely vague in your paper is what exactly the "Model" in Figure 1? Is is a multiple instance method? (averaging) and if yes do you have …
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At the end of the function inception_resnet_v1(...) in inception_resnet_v1.py after adding 5 x Inception-Resnet-C it calls the function block8() again and assigned the result to end_points['Mixed_8b']…
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Traceback (most recent call last):
File "retrain.py", line 1221, in
main()
File "retrain.py", line 210, in main
resized_image_tensor, bottleneck_tensor, ARCHITECTURE)
File "retrain…
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Users should be able to easily reproduce memory cost when using different memory plan controlling environment variables.
We need to add GLUON scripts for say Inception for Image classification, SSD…
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### Going Deeper with Convolutions : [링크](https://arxiv.org/abs/1409.4842)
* 특징
* 2014년 vgg 와 함께 등장
* cnn은 depth가 깊어지고 넓어질수록 overfiting 문제가 빠질 가능성이 높다. 그동안 hyper-paramenter와 초기값 설정을 통해 극복. 하…
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Where can I find the checkpoint files for preprocessing networks other than VGG-300 and VGG-512? Namely, I'm looking for the pre-trained .ckpt files for `inception`, `inception_resnet_v2`, and `incept…
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We will use this issue to track the results of the different network architectures and training methodologies.
Add a comment in this issue when you are working on one of them (I'll write `in progre…
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Hi all!
I use tensorflow 1.11.0 and Debian 4.9.88-1+deb9u1 (2018-05-07) x86_64 GNU/Linux.
I have tried to run retrain-script where I specified architecture parameter as inception_v3 and got an error…