Public | Automated Build

Last pushed: 2 years ago
Short Description
Caffe, Chainer, TensorFlow Environment.
Full Description

Docker Deep Learning

Caffe, Chainer, TensorFlow の環境が数分で整います。

Docker host が NVIDIA GPU を積んでいれば、 CUDA と cuDNN も利用可能です。

Requirements

  • NVIDIA GPU
  • Docker

Environment

  • Essential environment (python, curl, wget, git, nano, vim, etc...)
  • CUDA
  • cuDNN
  • Caffe
  • Chainer
  • TensorFlow

Get started

Pull from Docker Hub

docker pull ww24/deep-learning

Use NVIDIA Docker wrapper

GPU=0 ./nvidia-docker run -itd -v $(pwd)/data:/root/data -p 6006:6006 --name deep ww24/deep-learning
Docker Pull Command
Owner
ww24
Source Repository

Comments (1)
yogeek
a year ago

Hello,

First, thank you for this contribution !
Then, I think that in your Dockerfile : the "apt-get clean" command must be done in the same instruction that the 'atp-get install...' to be effective. Otherwise, in the final Docker image, the 'install' layer still contains the elements you want to clean and the 'clean' layer is not very useful.
So you would have :

RUN apt-get update && apt-get upgrade -y && \
apt-get install -y curl wget... && \
apt-get clean