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Add the Inception-ResNet-v2 model#510

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lcy-seso merged 3 commits intoPaddlePaddle:developfrom
guoshengCS:add-inceptionresnetv2
Dec 20, 2017
Merged

Add the Inception-ResNet-v2 model#510
lcy-seso merged 3 commits intoPaddlePaddle:developfrom
guoshengCS:add-inceptionresnetv2

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@guoshengCS guoshengCS commented Nov 30, 2017

resolve #509
@lcy-seso lcy-seso self-requested a review December 4, 2017 08:17
lcy-seso
lcy-seso reviewed Dec 8, 2017
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image_classification/README.md Outdated
提供的Inception-ResNet-v2模型支持`3 * 331 * 331`和`3 * 299 * 299`两种大小的输入，同时可以自行设置dropout概率，可以通过如下的代码使用：

```python
out = inception_resnet_v2.inception_resnet_v2(image, class_dim=CLASS_DIM, dropout_rate=0.5, size=DATA_DIM)
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@lcy-seso lcy-seso Dec 8, 2017

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这里做一个折行，超过 80 个字符了。
image_classification/inception_resnet_v2.py
import paddle.v2 as paddle


def conv_bn_layer(input,
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@lcy-seso lcy-seso Dec 8, 2017

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这个文件的函数都注释一下功能，输入和输出，否则对一般的用户，很难理解和使用。
@lcy-seso lcy-seso merged commit 4f13cce into PaddlePaddle:develop Dec 20, 2017
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