Example configuration for image classification.

[qingqing01]

In this example, we would like to show how to do image classification task in PaddlePaddle. We need to provide several classic configuration, AlexNet, VGG, GoogleNet, ResNet. It's betther to provide GoogleNet-v3/v4, identity-mapping-ResNet, but it doesn't matter if they are not provided in the first version.

Reference configuration:

• v1 of AlexNet: https://github.com/PaddlePaddle/Paddle/blob/develop/benchmark/paddle/image/alexnet.py
• VGG: https://github.com/PaddlePaddle/book/blob/develop/03.image_classification/vgg.py
• v1 of GoogleNet: https://github.com/PaddlePaddle/Paddle/blob/develop/benchmark/paddle/image/googlenet.py
• ResNet: https://github.com/PaddlePaddle/book/blob/develop/03.image_classification/resnet.py

DataSet:

• ImageNet
• Oxford-flowers: http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html

[qingqing01]

ResNet最好参考： https://github.com/PaddlePaddle/book/pull/29/files#diff-1f5fb0555bcc39a249610827c4c81ab9 book里当前适应于cifar-10，不是基于ImageNet标准模型。