Amazon Deep Learning AMIs

Amazon Deep Learning AMIs

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Score 7.4 out of 100
Amazon Deep Learning AMIs

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What is Amazon Deep Learning AMIs?

AMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2 instances pre-installed with deep…

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What is Amazon Lightsail?

Amazon Lightsail is a virtual private server (VPS) designed to present an easy-to-use cloud platform that offers everything needed to build an application or website, plus a cost-effective, monthly plan.

What is Microsoft Azure?

Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.

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Product Details

What is Amazon Deep Learning AMIs?

AMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2 instances pre-installed with deep learning frameworks and interfaces such as TensorFlow, PyTorch, Apache MXNet, Chainer, Gluon, Horovod, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques.

Amazon Deep Learning AMIs Technical Details

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Score 8 out of 10
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I work within a university setting within the school of computing where we use Amazon Deep Learning AMI as a cloud based alternative for deep learning in practical labs. Though we have high end hardware within our institution, not all students have access to this all of the time and as we have 100+ students on a Data Science/ Machine Learning Program this can cause issues with fair accessibility to equipment. This is where AMI comes into play, as we use this service to allow students to run complicated and intensive algorithms on significant data sets. This removes the need for expensive and inaccessible hardware in our lab spaces and gives our students the flexibility needed when learning about the intricacies of Deep Learning.
  • You can get several common packages including keras, pytorch and tensorflow setup within an environment ready to code on any AWS instance which saves time
  • Great for virtual applications that helps communicate between various pieces of software
  • Not need to worry about compatibility or any major aspects of setup e.g. GPU configuration
  • Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
  • It can be a bit confusing to switch between frameworks for novice users
Amazon AMIs has been very useful for the quick setup and implementation of deep learning for data analysis which is something I have used the service for in my own research. We commonly use the service to enable students to run intensive deep learning algorithms for their assessments. This service works well in this scenario as it allows students to quickly set up a suitable environment and get started with little hassle.
If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.