What is the installation and use of digits
Today, I will talk to you about the installation and use of digits, many people may not know much about it. In order to make you understand better, the editor has summarized the following contents for you. I hope you can get something according to this article.
DIGITS is the software I have always wanted to try, and I think it is very useful for people like me who want to accelerate deep learning. There are two ways to install DIGITS, one is to install the source code, and the other is to install it in the software repository. Obviously, for ubuntu, it is more convenient to install with the latter, as https://github.com/NVIDIA/DIGITS said.
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 $CUDA_REPO_PKGML_REPO_PKG=nvidia-machine-learning-repo_4.0-2_amd64.deb & & wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1404/x86_64/$ML_REPO _ PKG & & sudo dpkg-I $ML_REPO_PKGapt-get updateapt-get install digits
The installation is successful, and the prerequisite for installing DIGITS is that you have installed cuda and one of the deep learning frameworks, such as caffe.
It will take about 10 minutes, and the results are as follows. There seems to be some warning. We'll take a look at it later when there is a problem.
Easy to use:
1. Enter in the browser
Http://localhost
You can open the interface, but I don't want anyone to know or use this address. I want to change the port number.
Sudo dpkg-reconfigure digits
Just change it back to the port number you want.
two。 Download handwritten data
There is a main.py file in the installation directory, which also contains some other data https://github.com/NVIDIA/DIGITS/blob/master/docs/StandardDatasets.md
Python / share/digits/tools/download_data/main.py mnist ~ / Document/digits/mnist
As shown above, click Images in the Models area and select Classfication. Fill in the information on the pop-up page, select the dataset: MNIST, set up as above, click Create, and the database will be built. Click Digits to return to the home page
Verify the data after training, using the val.txt under job
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