Notice
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | |||
5 | 6 | 7 | 8 | 9 | 10 | 11 |
12 | 13 | 14 | 15 | 16 | 17 | 18 |
19 | 20 | 21 | 22 | 23 | 24 | 25 |
26 | 27 | 28 | 29 | 30 | 31 |
Tags
- keras
- dataset
- CUDA
- linux
- Anaconda
- Jupyter notebook
- Windows 10
- python3
- urllib
- object detection
- error
- pyTorch
- Deep Learning
- download
- ppc64le
- raspberry pi
- colab
- gpu memory
- colaboratory
- python
- FIle
- TensorFlow
- face_recognition
- 딥러닝
- shakeratos
- YouTube 8M
- windows
- install
- ubuntu
- dlib
Archives
- Today
- Total
Shakerato
Docker-Theano setup for ppc64le architure 본문
0. nvidia-docker should be installed.
1. https://hub.docker.com/r/ppc64le/theano/
(1) docker pull ppc64le/theano
(2) docker create -i -t --name mytheano ppc64le/theano:latest
(3) docker start mytheano
(4) docker attach mytheano
2. cd / ; cd tmp
3. apt-get install python-numpy python-scipy python-dev python-pip python-nose g++ libblas-dev git
4. https://github.com/marekrei/theano-tutorial
(1) apt-get update
(2) apt-get install git-core
(3) git clone https://github.com/marekrei/theano-tutorial.git
(4) cd theano-tutorial
(5) run examples
a. python minimal_working_example.py
b. python classifier.py data/countries-classify-gdp-normalised.train.txt data/countries-classify-gdp-normalised.test.txt
'Research' 카테고리의 다른 글
FakeApp 1.1 Tutorial (0) | 2018.02.12 |
---|---|
Create environment for tensorflow 1.4 in Anaconda 3 (0) | 2018.02.10 |
Multi-GPUs based Deep Learning Environment Construction (References) (0) | 2017.12.12 |
unRAID, GPU path-through 가상 환경 구축 참고자료 (0) | 2017.11.22 |
Docker Kitematic setup error in Windows 10 (0) | 2017.09.04 |
Comments