Keras Reviews & Ratings

Keras

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    4.3 out of 5 stars 1,161 Ratings
    Company Website for Gemini Enterprise Agent Platform
  • Qloo Reviews & Ratings
    5.0 out of 5 stars 23 Ratings
    Company Website for Qloo
  • Fraud.net Reviews & Ratings
    4.6 out of 5 stars 56 Ratings
    Company Website for Fraud.net
  • Source Defense Reviews & Ratings
    5.0 out of 5 stars 7 Ratings
    Company Website for Source Defense
  • SurveyJS Reviews & Ratings
    4.8 out of 5 stars 64 Ratings
    Company Website for SurveyJS
  • RAD PDF Reviews & Ratings
    5.0 out of 5 stars 3 Ratings
    Company Website for RAD PDF
  • Gaffa Reviews & Ratings
    5.0 out of 5 stars 5 Ratings
    Company Website for Gaffa
  • Highcharts Reviews & Ratings
    4.5 out of 5 stars 122 Ratings
    Company Website for Highcharts
  • cside Reviews & Ratings
    4.9 out of 5 stars 37 Ratings
    Company Website for cside
  • Apify Reviews & Ratings
    4.8 out of 5 stars 1,800 Ratings
    Company Website for Apify

What is Keras?

Keras is designed primarily for human users, focusing on usability rather than machine efficiency. It follows best practices to minimize cognitive load by offering consistent and intuitive APIs that cut down on the number of required steps for common tasks while providing clear and actionable error messages. It also features extensive documentation and developer resources to assist users. Notably, Keras is the most popular deep learning framework among the top five teams on Kaggle, highlighting its widespread adoption and effectiveness. By streamlining the experimentation process, Keras empowers users to implement innovative concepts much faster than their rivals, which is key for achieving success in competitive environments. Built on TensorFlow 2.0, it is a powerful framework that effortlessly scales across large GPU clusters or TPU pods. Making full use of TensorFlow's deployment capabilities is not only possible but also remarkably easy. Users can export Keras models for execution in JavaScript within web browsers, convert them to TF Lite for mobile and embedded platforms, and serve them through a web API with seamless integration. This adaptability establishes Keras as an essential asset for developers aiming to enhance their machine learning projects effectively and efficiently. Furthermore, its user-centric design fosters an environment where even those with limited experience can engage with deep learning technologies confidently.

What is AWS Neuron?

The system facilitates high-performance training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances, which utilize AWS Trainium technology. For model deployment, it provides efficient and low-latency inference on Amazon EC2 Inf1 instances that leverage AWS Inferentia, as well as Inf2 instances which are based on AWS Inferentia2. Through the Neuron software development kit, users can effectively use well-known machine learning frameworks such as TensorFlow and PyTorch, which allows them to optimally train and deploy their machine learning models on EC2 instances without the need for extensive code alterations or reliance on specific vendor solutions. The AWS Neuron SDK, tailored for both Inferentia and Trainium accelerators, integrates seamlessly with PyTorch and TensorFlow, enabling users to preserve their existing workflows with minimal changes. Moreover, for collaborative model training, the Neuron SDK is compatible with libraries like Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), which boosts its adaptability and efficiency across various machine learning projects. This extensive support framework simplifies the management of machine learning tasks for developers, allowing for a more streamlined and productive development process overall.

Media

Media

Integrations Supported

Cleanlab
Dragonfly 3D World
GPUEater
Gemma 3n
Gemma 4
Graphcore
Horovod
ModelOp
RazorThink
RunCode
Spell
TensorFlow
Unremot
neptune.ai
teX.ai

Integrations Supported

AWS Deep Learning AMIs
Amazon EKS Anywhere

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Keras

Company Location

United States

Company Website

keras.io

Company Facts

Organization Name

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

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

Categories and Features

Deep Learning

Convolutional Neural Networks
Visualization

Neural Network

Not specified

Categories and Features

AI Inference

Not specified

AI Infrastructure

Not specified

AI/ML Model Training

Not specified

Deep Learning

Not specified

Machine Learning

Not specified

Popular Alternatives

TensorFlow Reviews & Ratings

TensorFlow

5.0 out of 5 stars

Popular Alternatives