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Hi, once again thanks for awesome work.
It really helps with shortening pytorch to production path (pytorch=>keras=>tf).
I was running my pytorch model based on inception4 architecture.
I encou…
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Hi,
I'm trying to classify some images that are very similar, so I need the more precise Inception architecture.
I've tried using the following command, but to no avail:
```
IMAGE_SIZE=224…
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3rd paper on the **Inception** architecture from Google
### Objective
Understand the principles which guided the creation of the **Inception architecture** and allowed to scale the model.
Currently, …
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related paper
|摘要|
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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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related paper
|摘要|
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|We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separab…
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[`googlenet.lua`](https://github.com/soumith/imagenet-multiGPU.torch/blob/master/models/googlenet.lua) does not reflect GoogLeNet architecture (defined in [_Going Deeper with Convolutions_](http://arx…
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I am considering how I can modify this framework to train a different network, say Inception V3.
I know I have to modify the VGGnet_test.py and VGGnet_train.py files to match Inception's architect…
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I haven't seen any pre-trained model with Inception Resnet V2 architecture. So I wonder if there are any Inception Resnet V2 pre-trained models (with VGGFace2, Casia-WebFace, etc). Is it good when val…
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As #197 and #206 have pointed out, there are some inconsistencies with the implementation of Inception-ResNet-v2 and [the paper](https://arxiv.org/pdf/1602.07261). @agsourav highlights that the stem s…
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Have you tried other network architecture, Such as AlexNet, GoogleNet, ResNet, Inception?