Fix the max length in Transformer to count start and end tokens in

* Introduction for models about computer vision.
* Follow comments.

Add Chinese version of README and provide saved models

* Speed data processing by multi-threads/multi-process.
* Add profiling scripts.
* Use depthwise transposed conv2d.

* add more pyramid

Add transformer beamsearch decoder

Apply exponential decay on learning rate

* Fix bug in data anchor sampling.
* Add argument for memory optimization.
* Change arguments in detection_output.

Merge branch 'develop' of https://github.com/PaddlePaddle/models into add-transformer-BeamsearchDecoder-clean

Update README.md

* Add data anchor sampling in PyramidBox paper.

* update README_cn.md

* Refine code for English dataset.
1. Remove a pooling layer.
2. Change classes_num to 94.
3. Modify some arguments in ctc_train.py
4. Add learning rate decay policy.

* Fix readme.

* Fix README.

* Remove consine decay.

* Remove eval.sh

* Add icnet.

* Fix code.

* Fix utils.py.

Refine Pyramidbox infer and Pyramidbox configure

Refine Transformer for wmt14_en-de

* Refine documentation and code.

Update md5sum of aishell data