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 Horovod?

Horovod, initially developed by Uber, is designed to make distributed deep learning more straightforward and faster, transforming model training times from several days or even weeks into just hours or sometimes minutes. With Horovod, users can easily enhance their existing training scripts to utilize the capabilities of numerous GPUs by writing only a few lines of Python code. The tool provides deployment flexibility, as it can be installed on local servers or efficiently run in various cloud platforms like AWS, Azure, and Databricks. Furthermore, it integrates well with Apache Spark, enabling a unified approach to data processing and model training in a single, efficient pipeline. Once implemented, Horovod's infrastructure accommodates model training across a variety of frameworks, making transitions between TensorFlow, PyTorch, MXNet, and emerging technologies seamless. This versatility empowers users to adapt to the swift developments in machine learning, ensuring they are not confined to a single technology. As new frameworks continue to emerge, Horovod's design allows for ongoing compatibility, promoting sustained innovation and efficiency in deep learning projects.

Media

Media

Integrations Supported

TensorFlow
Akira AI
Amazon SageMaker Debugger
AutoKeras
BentoML
GPUEater
Gradient
JAX
Lambda
PaliGemma 2
StreamFlux
Superwise
Unremot
Weights & Biases
Zepl
Zorro
teX.ai

Integrations Supported

TensorFlow
Azure Databricks
MXNet

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Keras

Company Location

United States

Company Website

keras.io

Company Facts

Organization Name

Horovod

Company Website

horovod.ai/

Categories and Features

Deep Learning

Convolutional Neural Networks
Visualization

Neural Network

Not specified

Categories and Features

AI/ML Model Training

Not specified

Deep Learning

Not specified

Popular Alternatives

TensorFlow Reviews & Ratings

TensorFlow

5.0 out of 5 stars

Popular Alternatives

MXNet Reviews & Ratings

MXNet

The Apache Software Foundation
AWS Neuron Reviews & Ratings

AWS Neuron

Amazon Web Services