Software Alternatives, Accelerators & Startups
Register | Login

Keras VS React

Compare Keras VS React and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Keras logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

React logo React

A JavaScript library for building user interfaces
  • Keras Landing page
    Landing page //
    2023-10-16
  • React Landing page
    Landing page //
    2023-04-19

Keras videos

+ Add

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

React videos

+ Add

What Is React?

More videos:

  • Review - NOT Worth Buying? Nike EPIC REACT FLYKNIT 2 vs Epic React REVIEW
  • Review - NIKE REACT INFINITY RUN FLYKNIT REVIEW | The Ginger Runner

Category Popularity

0-100% (relative to Keras and React)

Keras

React

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

Share your experience with using Keras and React. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Keras and React

Keras Reviews

10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...
Source: searchbusinessanalytics.techtarget.com

React Reviews

The 20 Best Laravel Alternatives for Web Development
React’s the cool kid on the block, turning heads since Facebook dropped it at our feet. Building dynamic user interfaces feels less like coding, more like crafting with this JavaScript library.
Source: tms-outsource.com
Top 9 best Frameworks for web development
React uses a virtual DOM to optimize the performance of UI updates and follows a one-way data flow for easy tracking of data changes. With its active community and abundance of third-party resources and libraries, React is a solid choice for web development.
Source: www.kiwop.com
9 Best JavaScript Frameworks to Use in 2023
React can be used as a base in the development of single-page or mobile applications. However, React is concerned with rendering data to the DOM, so creating React apps usually requires additional libraries for state management, routing, and interaction with an API.
Source: ninetailed.io
JavaScript: What Are The Most Used Frameworks For This Language?
Some of its top features include server-side rendering, automatic code splitting, client-side routing, built-in CSS support, static site generation and API routes. Overall, Next.JS is a powerful and flexible framework that provides developers with a simple and intuitive way to build complex React applications with ease. It is widely used in the React community and has a...
Source: www.bocasay.com
20 Best JavaScript Frameworks For 2023
Preact is built with the same core principle of React – A component-based approach with Virtual DOM while completely compatible with React. It can even use React packages without compromising on speed, performance, and leaner size. In instances where the full potential of React isn’t necessary, most developers even use React during development and switch to Preact for...
Source: www.lambdatest.com

Social recommendations and mentions

Based on our record, React seems to be a lot more popular than Keras. While we know about 783 links to React, we've tracked only 32 mentions of Keras. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Keras mentions (32)

  • Using Google Magika to build an AI-powered file type detector
    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 27 days ago
  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 2 months ago
  • Getting Started with Gemma Models
    After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 3 months ago
  • How popular are libraries in each technology
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / about 1 year ago
  • Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
    I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
View more

React mentions (783)

  • Low-code drag-and-drop tool for building RESTful APIs with in minutes.
    React: Frontend library for designing and building the frontend user interfaces. - Source: dev.to / 3 days ago
  • Understanding Frontend Technologies by Comparing React vs. Angular
    References React. (2022). A JavaScript library for building user interfaces. Retrieved from React. (2022). React 18 Announcement. Retrieved from Angular. (2022). The modern web developer's platform. Retrieved from Angular. (2022). Angular 15 Announcement. Retrieved from React. (2022). React Release Notes. Retrieved from Angular. (2022). Angular Versions. Retrieved from. - Source: dev.to / 8 days ago
  • Awesome List
    React - A JavaScript library for building user interfaces. - Source: dev.to / 29 days ago
  • How Our Expertise Helped Curb Real Estate Communication Chaos
    On the back end, we worked to migrate data from Spark (a data processing engine) to a custom, in-house RETS (real estate transaction standard) aggregator, which helped dramatically grow the customer base. We also moved Agent Inbox to a hybrid solution using React.js and Ruby on Rails, replacing their single-page-application solution with server-side rendering to improve project stability and speed. (This move came... - Source: dev.to / about 1 month ago
  • React + Ruby on Rails without any gems
    How to start using React components written in TypeScript using Ruby on Rails as a server with only built-in Rails features? There are a couple of ways we can achieve it with. - Source: dev.to / about 1 month ago
View more

What are some alternatives?

When comparing Keras and React, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Vue.js - Reactive Components for Modern Web Interfaces

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Next.js - A small framework for server-rendered universal JavaScript apps

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Svelte - Cybernetically enhanced web apps

Loading...