3 years ago

Category: Docker, container, github

According to the facts more than 95% of the ML models are developed are not used in real development environment .To overcome this problem one of the brilliant idea to continuous integration and continuous deployment using (CI/CD) Devops technology. So, by combining ml with devops in which We have written a code of CNN(Deep Learning) and after uploading it to the GitHub,Jenkins will deploy that file to the docker container, and train the model and fetch the accuracy, and if the accuracy comes out to be less then it will do some changes in the model and train it again until it achieves the required accuracy. After this, I will get notified by Jenkins that the best model has been trained.

Create container image that’s has Jenkins installed using dockerfile When we launch this image, it should automatically starts Jenkins service in the container.

Job2 : By looking at the code or program file, Jenkins should automatically start the respective language interpreter install image container to deploy code ( eg. If code is of PHP, then Jenkins should start the container that has PHP already installed ).