Is your inception resnet v2 different from the original paper? about caffe-model HOT 14 CLOSED

also no average pooling is used in the paper if I am not wrong

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Indeed, the inception resnet v2 implemented by tensorflow is slightly different with the paper. My model is converted from the tensorflow version,but you get the basically same accuracy as the paper.

from caffe-model.

This is a screenshot of part of the tensorflow model

Did you also add a lot of batch norm when the tensorflow model doesn't?

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I am not very familiar with the operation of tensorflow, but it seems like the batch norm layer is added as follow?

from caffe-model.

Ok. I miss out that part. Thanks a lot. One last question (hope that I am not bothering you) - you don't have the following scaling part in your caffe code right?

I am intending to train the model from scratch.

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coeff: 1, 0.17 is the scaling parameter.

In my experience, training any inception model from scratch is very difficult, I sincerely recommend you just finetune my model with your dataset.
You can download from BaiduCloud https://pan.baidu.com/s/1jHPJCX4#list/path=%2F

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Can I know what is the hard part in training inception model from scratch? Do people just keep restarting the training after it dies?

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Inception model is very hard to optimize, even you follow all the detail as the google's papers say. I don't know why the optimization is so difficult, you can search some relevant repositories to learning some others' experience.

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Hi I see that your prototxt has a batch size of 64. My Titan X Pascal can only support up to 8 and it is already using more than 7gb. Is that normal?

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This is normal on caffe, inception-resnet-v2 is memory exhaustion. 64 is just a placeholder when I wrote the script.

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You say "on caffe". Do you imply that caffe is memory inefficient?

from caffe-model.

Relative to mxnet, it's yes.

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Hi, just checking. How long did you train your inception resnet model? I am using one pascal titan x and based on my calculation, it is going to take ~6 months for 200 epochs. Is it normal?

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@yxchng
I just finetuned inception-resnet-v2 for my custom dataset. I forget the specific time consumption, but I remember it's really time-consuming. So taking ~6 months for 200 epoch of imagenet on a single pascal titan x may be normal.

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