If you want to be the very best that no one ever was, you should read this tutorial on how to use an AWS Deep Learning AMI to train a Neural Network classifier in Python. The goal of this classifier is to give an image of a Gen 1 Pokemon, to identify it. That was a lot of acronyms and funny words, before we get started on the tutorial, let's cover some background information. AMI stands for Amazon Machine Image and is a template that is used to launch a virtual server (which in AWS is also known as an EC2 instance that you can read more about below). Since it is a template, you can use one AMI to launch multiple EC2 instances with the same configurations.

Whether you're new to deep learning or want to build advanced deep learning projects in the cloud, it's easy to get started by using AWS. The AWS Deep Learning AMIs, available in both Ubuntu and Amazon Linux versions, let you run deep learning applications in the cloud at any scale. The Amazon Machine Images (AMIs) come with pre-installed, open source deep learning frameworks including Apache MXNet, TensorFlow, the Microsoft Cognitive Toolkit (CNTK), Caffe, Caffe2, Theano, Torch, and Keras. With the AMIs, you can train custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques. There is no additional charge to use the AMIs--you pay only for the AWS resources needed to store and run your applications.

We are excited to announce that an AWS Deep Learning AMI for Ubuntu is now available in the AWS Marketplace in addition to the Amazon Linux version. The AWS Deep Learning AMI, now available on AWS Marketplace, lets you run deep learning in the Cloud, at any scale. Launch instances of pre-installed, open source deep learning frameworks, including Apache MXNet, to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques. The AWS Deep Learning AMI lets you create managed, auto-scaling clusters of GPUs for large-scale training, or run inference on trained models using the latest versions of MXNet, TensorFlow, Caffe, Theano, Torch, and Keras. With the addition of an Ubuntu version, you have the choice to run on the operating system of your choice.

We are excited to announce that an AWS Deep Learning AMI for Ubuntu is now available in the AWS Marketplace in addition to the Amazon Linux version. The AWS Deep Learning AMI, now available on AWS Marketplace, lets you run deep learning in the Cloud, at any scale. Launch instances of pre-installed, open source deep learning frameworks, including Apache MXNet, to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques. The AWS Deep Learning AMI lets you create managed, auto-scaling clusters of GPUs for large-scale training, or run inference on trained models using the latest versions of MXNet, TensorFlow, Caffe, Theano, Torch, and Keras. With the addition of an Ubuntu version, you have the choice to run on the operating system of your choice.