Example DLAMI use cases

The following are examples of some common use cases for Amazon Deep Learning AMIs (DLAMI).

Learning about deep learning – DLAMI is a great choice for learning or teaching machine learning and deep learning frameworks. The DLAMIs take away the headache from troubleshooting the installations of each framework and getting them to play along on the same computer. The DLAMIs include a Jupyter notebook and make it easy to run the tutorials that the frameworks provide for people new to machine learning and deep learning.

App development – If you're an app developer who's interested in using deep learning to make your apps utilize the latest advances in AI, then DLAMI is the perfect test bed for you. Each framework comes with tutorials on how to get started with deep learning, and many of them have model zoos that make it easy to try out deep learning without having to create the neural networks yourself or to do any of the model training. Some examples show you how to build an image detection application in just a few minutes, or how to build a speech recognition app for your own chatbot.

Machine learning and data analytics – If you're a data scientist or you're interested in processing your data with deep learning, then you'll find that many of the frameworks have support for R and Spark. You will find tutorials on how to do simple regressions, all the way up to building scalable data processing systems for personalization and predictions systems.

Research – If you're a researcher who wants to try out a new framework, test a new model, or train new models, then DLAMI and Amazon capabilities for scale can alleviate the pain of tedious installations and management of multiple training nodes.