Sagemaker

amazon sagemaker is a fully managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning models at scale with sagemaker, you can quickly and easily create machine learning models using popular frameworks like tensorflow and pytorch, and then deploy them to production environments with just a few clicks to use sagemaker, you will need an aws subscription once you have an aws subscription, follow these steps to get started create a sagemaker notebook instance with the desired configuration import and open the provided notebook and code folder in the sagemaker environment follow the steps outlined in the notebook make sure to change variable/parameter values as per your run configuration note that there are two requirements files one at the notebook level for installing required packages and one inside the code folder for deployment related requirements you can find the required files in the reference implement on github