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Description

AWS Deep Learning AMIs (DLAMI) offer machine learning professionals and researchers a secure and curated collection of frameworks, tools, and dependencies to enhance deep learning capabilities in cloud environments. Designed for both Amazon Linux and Ubuntu, these Amazon Machine Images (AMIs) are pre-equipped with popular frameworks like TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, enabling quick deployment and efficient operation of these tools at scale. By utilizing these resources, you can create sophisticated machine learning models for the development of autonomous vehicle (AV) technology, thoroughly validating your models with millions of virtual tests. The setup and configuration process for AWS instances is expedited, facilitating faster experimentation and assessment through access to the latest frameworks and libraries, including Hugging Face Transformers. Furthermore, the incorporation of advanced analytics, machine learning, and deep learning techniques allows for the discovery of trends and the generation of predictions from scattered and raw health data, ultimately leading to more informed decision-making. This comprehensive ecosystem not only fosters innovation but also enhances operational efficiency across various applications.

Description

Keras is an API tailored for human users rather than machines. It adheres to optimal practices for alleviating cognitive strain by providing consistent and straightforward APIs, reducing the number of necessary actions for typical tasks, and delivering clear and actionable error messages. Additionally, it boasts comprehensive documentation alongside developer guides. Keras is recognized as the most utilized deep learning framework among the top five winning teams on Kaggle, showcasing its popularity and effectiveness. By simplifying the process of conducting new experiments, Keras enables users to implement more innovative ideas at a quicker pace than their competitors, which is a crucial advantage for success. Built upon TensorFlow 2.0, Keras serves as a robust framework capable of scaling across large GPU clusters or entire TPU pods with ease. Utilizing the full deployment potential of the TensorFlow platform is not just feasible; it is remarkably straightforward. You have the ability to export Keras models to JavaScript for direct browser execution, transform them to TF Lite for use on iOS, Android, and embedded devices, and seamlessly serve Keras models through a web API. This versatility makes Keras an invaluable tool for developers looking to maximize their machine learning capabilities.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace Yes 
Akira AI No 
Amazon EC2 G5 Instances Yes 
Amazon EC2 Inf1 Instances Yes 
Amazon EC2 Trn1 Instances Yes 
BentoML No 
Flower No 
Gemma 3 No 
Gemma 3n No 
Google AI Edge No 
Gradient No 
Graphcore No 
Horovod No 
Lambda No 
Polyaxon No 
RunCode No 
StreamFlux No 
TensorFlow No 
Unremot No 
neptune.ai No 

Integrations

AWS Marketplace No 
Akira AI Yes 
Amazon EC2 G5 Instances No 
Amazon EC2 Inf1 Instances No 
Amazon EC2 Trn1 Instances No 
BentoML Yes 
Flower Yes 
Gemma 3 Yes 
Gemma 3n Yes 
Google AI Edge Yes 
Gradient Yes 
Graphcore Yes 
Horovod Yes 
Lambda Yes 
Polyaxon Yes 
RunCode Yes 
StreamFlux Yes 
TensorFlow Yes 
Unremot Yes 
neptune.ai Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/machine-learning/amis/

Vendor Details

Company Name

Keras

Country

United States

Website

keras.io

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Product Features

Deep Learning

Convolutional Neural Networks Yes 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization Yes 

Alternatives

Alternatives

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