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Keras VS GeeksforGeeks

Compare Keras VS GeeksforGeeks and see what are their differences

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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.

GeeksforGeeks logo GeeksforGeeks

A computer science portal for geeks
  • Keras Landing page
    Landing page //
    2023-10-16
  • GeeksforGeeks Landing page
    Landing page //
    2023-05-07

Keras features and specs

  • User-Friendly
    Keras provides a simple and intuitive interface, making it easy for beginners to start building and training models without needing extensive experience in deep learning.
  • Modularity
    Keras follows a modular design, allowing users to easily plug in different neural network components, such as layers, activation functions, and optimizers, to create complex models.
  • Pre-trained Models
    Keras includes a wide range of pre-trained models and offers easy integration with transfer learning techniques, reducing the time required to achieve good results on new tasks.
  • Integration with TensorFlow
    As part of TensorFlow’s ecosystem, Keras provides deep integration with TensorFlow functionalities, enabling users to leverage TensorFlow's powerful features and performance optimizations.
  • Extensive Documentation
    Keras has comprehensive and well-organized documentation, along with numerous tutorials and code examples, making it easier for developers to learn and use the framework.
  • Community Support
    Keras benefits from a large and active community, which provides support through forums, GitHub, and specialized user groups, facilitating the resolution of issues and sharing of best practices.

Possible disadvantages of Keras

  • Performance Limitations
    Due to its high-level abstraction, Keras may incur performance overheads, making it less suitable for scenarios requiring extremely fast execution and low-level optimizations.
  • Limited Low-Level Control
    The simplicity and abstraction of Keras can be a downside for advanced users who need fine-grained control over model components and custom operations, which may require them to resort to lower-level frameworks.
  • Scalability Issues
    In some complex applications and large-scale deployments, Keras might face scalability challenges, where more specialized or low-level frameworks could handle such tasks more efficiently.
  • Dependency on TensorFlow
    While the integration with TensorFlow is generally an advantage, it also means that the performance and features of Keras are closely tied to the development and updates of TensorFlow.
  • Lagging Behind Latest Research
    Keras, being a user-friendly high-level API, might not always incorporate the latest cutting-edge research advancements in deep learning as quickly as more research-oriented frameworks.

GeeksforGeeks features and specs

  • Comprehensive Content
    GeeksforGeeks offers a vast array of articles, tutorials, and problem sets that cover a wide range of programming languages, algorithms, data structures, and computer science concepts, making it a valuable resource for learners at all levels.
  • Community and Contributions
    The platform allows community contributions, enabling users to share knowledge and solutions, which helps keep the content diverse, up-to-date, and enriched with multiple perspectives.
  • Practice and Learning Tools
    GeeksforGeeks provides ample opportunities for hands-on practice through coding challenges, quizzes, and contests, which help users test and strengthen their coding skills effectively.
  • Interview Preparation
    The website is renowned for its curated content aimed at coding interview preparation, offering exercises and questions that simulate real interview scenarios, particularly for tech companies.

Possible disadvantages of GeeksforGeeks

  • Quality Inconsistency
    Given the community-driven nature of content creation, some articles and solutions may vary in quality, lacking clarity or thoroughness, which can lead to confusion for learners seeking detailed explanations.
  • Advertisement and Clutter
    The presence of numerous ads on the site can be distracting and may disrupt the browsing experience, making it harder for users to focus on the content they intended to study.
  • Navigation and Organization
    Due to the extensive amount of information available, users may find it challenging to navigate or identify specific resources quickly, which can be cumbersome for those new to the platform.
  • Overwhelming for Beginners
    The breadth of advanced topics and large repository of information can be overwhelming for beginners who might struggle to figure out where to start or how to approach their learning journey effectively.

Analysis of Keras

Overall verdict

  • Keras is a solid choice for deep learning projects, offering simplicity and flexibility without sacrificing performance. It is well-suited for educational purposes, research, and even deploying models in production environments.

Why this product is good

  • Keras is widely regarded as a good deep learning library because it provides a user-friendly API that allows for easy and fast prototyping of neural networks. It is built on top of other libraries like TensorFlow, making it robust and efficient for both beginners and experienced developers. Its modularity, extensibility, and compatibility with other tools and libraries make it a popular choice for developing deep learning models.

Recommended for

  • Beginners who are new to deep learning
  • Researchers looking for an easy-to-use platform for prototyping models
  • Developers working on projects that require quick experimentation and development
  • Individuals and companies deploying models into production environments

Analysis of GeeksforGeeks

Overall verdict

  • Overall, GeeksforGeeks is regarded as a good platform for learning and enhancing technical skills. It provides high-quality, reliable content that is often reviewed and updated by knowledgeable contributors in the field.

Why this product is good

  • GeeksforGeeks is considered a valuable resource for students and professionals interested in programming and computer science. The platform offers a wide range of tutorials, coding problems, and articles that can help individuals understand various concepts in an accessible manner. Additionally, it covers diverse topics across different technical domains and programming languages, which makes it versatile and comprehensive.

Recommended for

  • Students looking to learn programming concepts and algorithms.
  • Software engineers who want to improve their coding skills.
  • Anyone preparing for technical interviews or competitive programming.

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

GeeksforGeeks videos

+ Add

Geeksforgeeks self paced DSA review | CP | Leetcode

More videos:

  • Tutorial - HOW TO BECOME A PROGRAMMER? | STORY OF SANDEEP JAIN | GEEKSFORGEEKS |FLAWLESS FAILURE |
  • Review - Geeksforgeeks | Aamzon SDE Test Series Review | Faang | CP | Leetcode

Category Popularity

0-100% (relative to Keras and GeeksforGeeks)

Keras

GeeksforGeeks

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Online Learning
0 0%
Online Learning
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Education
0 0%
Education
100% 100

User comments

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Reviews

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

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

GeeksforGeeks Reviews

LeetCode Alternatives: Top platforms for coding practice
What are LeetCode and LeetCode alternatives good for?LeetCode💡Interested in leveling up your career? Apply to the Formation Fellowship today!ApplyHackerRankCodeSignalAlgoExpertCodewarsGeeksforGeeksEdabitExercismTopCoderShould you use LeetCode for advanced interview prep?Get holistic interview prep with Formation
Source: formation.dev
Top 25 websites for coding challenge and competition [Updated for 2021]
GeeksForGeeks is the website for geeks. It has tons of resources on programming and algorithms. It also has an interview section to help programmers win their dream jobs. There’s also an excellent collection of C and C++ puzzles for programmers to solve.
Source: towardsdatascience.com

Social recommendations and mentions

Keras might be a bit more popular than GeeksforGeeks. We know about 35 links to it since March 2021 and only 24 links to GeeksforGeeks. 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 (35)

  • Top Programming Languages for AI Development in 2025
    The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / about 1 month ago
  • Top 8 OpenSource Tools for AI Startups
    If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 8 months ago
  • Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
    At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 8 months ago
  • 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 / about 1 year 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 / about 1 year ago
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GeeksforGeeks mentions (24)

  • Slicing with RStudio
    So I have a dataset from source("https://www.openintro.org/data/R/exam_grades.R"). First column is the year(format YEAR-# ie 2000-1 for year 2000 semster 1), then gender in the second column, then actual exam scores in the following 3 columns, then course grade in the last column. I want to separate the data based on the year and semester. I went looking and the closest thing that would let me do it was slicing. ... Source: over 2 years ago
  • My experience of cracking coding interviews (2018)
    Geeksforgeeks.org - A famous computer science portal having everything you need for interview preparation. But in my opinion, the code, methods are not too intuitive and simple, their code has some bugs too. For example, consider this problem, http://bit.do/PetrolPump , the solution is not too intuitive. If you see this solution : http://bit.do/LeetcodePetrolPump. It’s very easy. That’s why I recommend leetcode... - Source: dev.to / over 2 years ago
  • Auto Redirect AMP doesn't work, even from FLAGs
    However, how are you getting these links? Because if I go directly to geeksforgeeks.org in Brave Android and then click on any article, it doesn't give me that type of Google URL. Source: over 2 years ago
  • Should I retake CS106A?
    I would say that just googling/searching on YouTube for a specific topic like recursion, backtracking, binary search tree, etc. Is really good for finding videos and websites that further break down the concepts and teach you tips for how to implement them. geeksforgeeks.org is a really good website that I can think of that helps a lot with understanding the topics in 106B, and general computer science topics and... Source: almost 3 years ago
  • A 4 years dropper, wanting to start a future in IT sector. Having some doubts. Help will be appreciated.
    For practicing algorithms, use any of the freely available websites like https://hackerrank.com https://codechef.com https://projecteuler.net A structured set of practice problems are available at https://www.interviewbit.com/courses/programming/ Avoid https://geeksforgeeks.org because it has a ton of material but very poor quality control. Source: almost 3 years ago
View more

What are some alternatives?

When comparing Keras and GeeksforGeeks, 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.

DevToolLab - Collection of free online developer tools for JSON, XML, CSS, and more

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

JSON Formatter & Validator - The JSON Formatter was created to help with debugging.

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

AlgoExpert.io - A better way to prep for tech interviews

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