Keras 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.

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Integrations

API:
Yes, Keras has an API
View Integrations

Reviews - 2 Verified Reviews

Total
ease
features
design
support
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Company Details

Company:
Keras
Headquarters:
United States
Website:
keras.io

Media

Keras Screenshot 1
Keras Screenshot 1 Keras Screenshot 2 Keras Screenshot 3
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Product Details

Platforms
Web-Based
Windows
Mac
Linux
iPhone App
iPad App
Android App
Types of Training
Training Docs
Customer Support
Online Support

Keras Features and Options

Deep Learning Software

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

Keras User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Principal Software Engineer
    Length of product use: Less than 6 months
    Used How Often?: Yearly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Interface for neural networks

    Date: Aug 03 2022

    Summary: Keras is an incredibly powerful tool that makes it much easier to create deep learning models. It's free and is used by many scientific research organizations worldwide.

    Positive: - acts as a human readable API for neural networks built on TensorFlow
    - makes reading and writing machine learning code much easier
    - can scale to large GPU clusters
    - models can be run in JavaScript, on any device
    - used by CERN and NASA in their scientific experiments
    - great documentation

    Negative: - still requires a background in data science and ML to be able to write code

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  • Name: Anonymous (Verified)
    Job Title: Researcher
    Length of product use: Less than 6 months
    Used How Often?: Weekly
    Role: User
    Organization Size: 26 - 99
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Easy to use for Python developers

    Date: Aug 08 2020

    Summary: If you don't have too much time to really get the hang of using Tensorflow and are already a decent Python developer, Keras is a pretty good option to examine. It's a wrapper for Tensorflow so you get most of the benefits.

    Positive: I mostly code in Python, so using Keras for my deep learning needs wasn't too hard to get used to, given the abundance of documentation and ease of writing modular code with its API.

    Negative: Keras only has high level APIs, unlike Tensorflow, which has both high and low level support.

    Read More...
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