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kdgan-1's Introduction

KDGAN

knowledge distillation generative adversarial network
https://github.com/cvtower/kdgan

[email protected] Unit 1803, 280 Spencer Street 5217295265283899

Extension

Shakeout: A new approach to regularized deep neural network training

Server

ssh [email protected] # cpu
ssh [email protected] # gpu xw
ssh [email protected] # gpu cz

Problem

PermissionError: [Errno 13] Permission denied sudo chmod -R ugo+rw /data

Learning to learn

conda create -n venv python=2.7 pip install tensorflow==1.6.0 pip install dm-sonnet==1.7 pip install tensorflow-probability==0.0.1 pip install dill python train.py --problem=quadratic --save_path=./quadratic

JointGAN

pip install tensorflow==1.0.0 pip install easydict nltk pandas prettytensor progressbar python-dateutil torchfile pip install git+git://github.com/bdusell/rougescore.git git clone [email protected]:tylin/coco-caption.git sys.path.append('Projects/kdgan/code/jointgan')

YFCC100M

wget http://download.maxmind.com/download/worldcities/worldcitiespop.txt.gz gunzip worldcitiespop.txt.gz file -i worldcitiespop.txt

00 Line number
01 Photo/video identifier
02 Photo/video hash
03 User NSID
04 User nickname
05 Date taken
06 Date uploaded
07 Capture device
08 Title
09 Description
10 User tags (comma-separated)
11 Machine tags (comma-separated)
12 Longitude
13 Latitude
14 Accuracy of the longitude and latitude coordinates (1=world level accuracy)
15 Photo/video page URL
16 Photo/video download URL
17 License name
18 License URL
19 Photo/video server identifier
20 Photo/video farm identifier
21 Photo/video secret
22 Photo/video secret original
23 Extension of the original photo
24 Photos/video marker (0=photo, 1=video)

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