如何利用Docker、AWS和深度学习伪装成一个艺术家(3)

PS：结束创作后,不要忘记停止和删除你的P2实例.

$?docker-machine?rm?nvidia-docker

我们的艺术馆：

• http://lherrerabenitez.deviantart.com/gallery/
• http://albarji.deviantart.com/gallery/60433505/neuralstyle

机器学习、数据挖掘以及Docker的参考文献

不了解机器学习、数据挖掘和Docker的、并且想要了解它们的朋友,请点击下面的链接：

• https://arxiv.org/abs/1508.06576?——?A neural algorithm of style
• http://www.robots.ox.ac.uk/~vgg/publications/2015/Simonyan15/?——Very Deep Convolutional Networks for Large-Scale Image Recognition (VGG19 network)
• https://github.com/jcjohnson/neural-style?——A torch implementation of the paper A Neural Algorithm of Artistic Style by Leon A. Gatys,Alexander S. Ecker,and Matthias Bethge.
• http://image-net.org/challenges/LSVRC/2014/?——ImageNet 2014 Challenge
• https://www.coursera.org/learn/machine-learning?——?Andrew Ng Machine Learning Course
• https://github.com/soumith/cvpr2015/blob/master/Deep%20Learning%20with%20Torch.ipynb?——Deep Learning with Torch
• https://github.com/docker/labs?——Docker Tutorials
• https://github.com/NVIDIA/nvidia-docker——?NVIDIA Docker

构建和优化Docker镜像

我们想要优化和减少镜像的体积.你能够帮助我们吗?

• 下载项目：

$?git?clone?https://github.com/albarji/neural-style-docker

• 修改项目文件
• 构建新的镜像：

$?sudo?nvidia-docker?build?-t?neural-style:2.0?.

• 运行测试代码：

$?sudo?nvidia-docker?run?—?rm?-v?$(pwd):/images?—?entrypoint?python?neural-style?/neural-style/variants.py?—?contents?img/docker.png?—?styles?img/starryNight.jpg?—?outfolder

文章出处：Docker(订阅号ID：dockerone)

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