GitLab

Implemented LRN for AlexNet tutorial

Update username and add new line in READMEs.

For details see our paper:
"Speed/accuracy trade-offs for modern convolutional object detectors."
Huang J, Rathod V, Sun C, Zhu M, Korattikara A, Fathi A, Fischer I,
Wojna Z, Song Y, Guadarrama S, Murphy K, CVPR 2017
https://arxiv.org/abs/1611.10012

Fix slow down with only 1 GPU

This patch assigns dequeue node to inputs_device. And nolonger shows
"Ignoring device specification /device:GPU:X for node
'clone_X/fifo_queue_Dequeue'" message.

- Add inception_resnet_v2_base
- Provide option to use SAME padding for all inception resnet v2
  layers. This is to align feature maps sizes.

Use a relative link instead

* MobileNet V1 commit

* updates to README

Fix a small bug of Python3 compatibility in tutorial example /rnn/ptb

Fixed error message for inception/imagenet.

Rename the image/label batch variables

Update resnet_model.py

Input pipeline to CPU:0 increase images/sec from 1700 to 8000 on GTX 1080

update to tensorflow/model master

A TODO was stated for adding LRN - Pending GPU support.
LRN was implemented by tensorflow/tensorflow@35df3ed43edabbc4ad1b2439bbc7de8917026d6e

Hyper-parameters taken from http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks

Fixed calls to concat and convolution2d

To pass test, add VariableV2 in _PSDeviceChooser

Update protobuf version dependency

'elipson' should be epsilon

Add executable flag to files so that download_and_preprocess_imagenet.sh can run them

Add executable flag to models so that they can be run from the download_and_preprocess_imagenet.sh script automatically