* Add more model configure, such as AlexNet, VGG, GoogleNet, DPN, ResNet etc.
* Add download_imagenet2012.sh
* Update doc.
* Add Chinese doc.

* DQN Atari based on RLLab

* DQN Atari based on RLLab

* DQN Atari based on RLLab

* refactor code without RLLab framework

* add module of saving and loading policy model

* refactor code structure, add DoubleDQN and DuelingDQN modules

* add fluid argmax, flatten utils

* update README.md

* udpdate replay memory

* udpdate replay memory

* update readme, code clean

* clean code and fix codestyle

* fix codestyle

* update README.md

* revisions|history->context, randint->random

* revisions| add comment for max-pooling operation in atari

* update wiki

* refine wiki

* train.py default args

* update wiki cn

* update wiki

fix tanh problem

* Add head bbox for Pyramid-Box model.

* Fix bug in transform_labels and satisfy_sample_constraint function.

fix inference bug

* Add object_coverage constraint & fix bbox_labels data layout bug

* code clean

* Create README.en.md

* Create README.en.cn

* Update README.en.cn

* Rename README.en.cn to README.en.md

* Update README.en.md

* Update README.en.md

* Update README.en.md

* Update README.en.md

update title

* Rename README.en.md to README_en.md

* Update and rename README.en.md to README_en.md

fix bug

* Update README.md

* Update README_en.md

* Update README.md

* Rename README_en.md to README.en.md

* Rename README_en.md to README.en.md

* Rename README.en.md to README_en.md

* Rename README.en.md to README_en.md

* Update README_en.md

Translate - DeepFM for CTR prediction

* Create READ_ME_EN.md

* Update READ_ME_EN.md

* Update READ_ME_EN.md

Modified to pass trailing test

* Rename READ_ME_EN.md to README_en.md

Modified to pass trailing test

Create README_en.md

Fix the bug in test

fix https://github.com/PaddlePaddle/models/issues/712

Make Transformer adapt to the latest api of ParallelExecutor

Update training & profiling scripts for new config

create  ltr/README_en.md

* Support groups in de-conv and fix bug.

* Clean code.

* Fix model config.

* Some mirror changes in data argumentations.

* Set learning rate by input arguments.

* Add check for model_dir and gitignores

* code clean

* code clean

* Support groups in de-conv and fix bug.

* Clean code.

* Fix model config.

* Support groups in de-conv and fix bug.

* Clean code.

New config

* caffe2fluid: fix bug in transforming Scale layer without bias parameter

* caffe2fluid: fix bug about Scale layer transformation and model saving

* training code of pyramidbox

* Fix code format.

* load pretrained vgg model

* load pretrained vgg model

* delete irrelevant tools

* delete unused lines