NVIDIA 不愧是推动Deep learning 的中坚力量，之前运行2.0版本正得心应手时，就推出了3.0 版本。Github地址：https://github.com/NVIDIA/DIGITS，3.0版本的安装使用更为简洁，极易上手。
更新内容：
The new DIGITS 3 release improves training productivity with enhanced workflows.
Train neural network models with Torch support (preview), including pre-built AlexNet and GoogleNet models that make it easy to get started.
Quickly identify the best model through focused design iteration using the new results browser.
Easily manage multiple training jobs to optimize use of system resources.
Explore image datasets using the new dataset browser contributed to the DIGITS open source project by Deepomatic.
操作系统：Ubuntu 14.04 64bit.
首先需要配置Caffe 没有配置的同学自行官网。
命令行：
CUDA_REPO_PKG=cuda-repo-ubuntu1404_7.5-18_amd64.deb &&
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/$CUDA_REPO_PKG &&
sudo dpkg -i $CUDA_REPO_PKG
ML_REPO_PKG=nvidia-machine-learning-repo_4.0-2_amd64.deb &&
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1404/x86_64/$ML_REPO_PKG &&
sudo dpkg -i $ML_REPO_PKG
待添加完后同样命令行：
apt-get update
apt-get install digits
泡杯Caffe，然后等待安装完成。
安装完成后，在浏览器中输入：
http://localhost/
就可以见到亲切的DIGITS界面了，然后进行train吧。
PS：DIGITS开机自启动，同在一个局域网的机器也可以远程操作。同样在浏览器中输入 运行DIGITS的主机IP地址，同样进入。Amazing。
