Ratings and Reviews 2 Ratings

Total
ease
features
design
support

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

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

Write a Review

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    732 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Source Defense Reviews & Ratings
    7 Ratings
    Company Website
  • Highcharts Reviews & Ratings
    119 Ratings
    Company Website
  • RAD PDF Reviews & Ratings
    3 Ratings
    Company Website
  • Frontegg Reviews & Ratings
    360 Ratings
    Company Website
  • Nutrient SDK Reviews & Ratings
    94 Ratings
    Company Website
  • Windsurf Editor Reviews & Ratings
    144 Ratings
    Company Website
  • AdRem NetCrunch Reviews & Ratings
    147 Ratings
    Company Website

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 DeepPy?

DeepPy is a deep learning framework released under the MIT license, aimed at bringing a sense of calm to the deep learning journey. It mainly relies on CUDArray for its computational functions, making it necessary to install CUDArray beforehand. Furthermore, users can choose to install CUDArray without the CUDA back-end, simplifying the installation process considerably. This option can be especially advantageous for those who seek an easier setup, enhancing accessibility for a wider audience. Overall, DeepPy emphasizes ease of use while maintaining powerful deep learning capabilities.

Media

Media

Integrations Supported

Activeeon ProActive
Akira AI
AutoKeras
Database Mart
Flower
GPUEater
Gemma 3
Gemma 3n
Horovod
Intel Tiber AI Studio
JAX
MLflow
ModelOp
OpenVINO
Radicalbit
RazorThink
Spell
TensorFlow
Weights & Biases
Zepl

Integrations Supported

Activeeon ProActive
Akira AI
AutoKeras
Database Mart
Flower
GPUEater
Gemma 3
Gemma 3n
Horovod
Intel Tiber AI Studio
JAX
MLflow
ModelOp
OpenVINO
Radicalbit
RazorThink
Spell
TensorFlow
Weights & Biases
Zepl

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Keras

Company Location

United States

Company Website

keras.io

Company Facts

Organization Name

DeepPy

Company Website

andersbll.github.io/deeppy-website/

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Popular Alternatives

Popular Alternatives

No Alternatives