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Keras VS HackerRank

Compare Keras VS HackerRank 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.

HackerRank logo HackerRank

HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
  • Keras Landing page
    Landing page //
    2023-10-16
  • HackerRank Landing page
    Landing page //
    2023-07-23

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.

HackerRank features and specs

  • Skill Assessment
    HackerRank provides a structured way to assess coding skills through a wide range of programming challenges and problems.
  • Wide Range of Languages
    Supports numerous programming languages, making it versatile for users with different preferences and expertise.
  • Interview Preparation
    Offers various interview preparation kits and company-specific challenges to help candidates prepare for job interviews.
  • Community and Collaboration
    A community of coders where users can discuss problems, share solutions, and collaborate on coding projects.
  • Company Recruitments
    Many companies use HackerRank for recruitment, and performing well on the platform can lead to job opportunities.
  • Leaderboard and Gamification
    Features like leaderboards and gamification elements motivate users to improve their rankings and skills continuously.
  • Educational Resources
    Provides tutorials and explanations that help users understand algorithms and data structures better.

Possible disadvantages of HackerRank

  • Steep Learning Curve
    Beginners may find some problems too challenging, which can be discouraging if they lack foundational knowledge.
  • Potential Focus on Competitive Programming
    The platform may emphasize competitive programming skills, which are not always directly applicable to all real-world software development scenarios.
  • Quality Variance in Problems
    The quality and difficulty of problems can vary, which may affect the consistency of the learning experience.
  • Limited Real-World Project Experience
    The focus on algorithms and coding challenges means there's less emphasis on full-scale project development experience.
  • Limited Feedback
    Automated grading provides limited feedback, which may not be enough for users to understand their mistakes fully.
  • Subscription Costs
    Access to some premium content and features requires a subscription, which may not be affordable for all users.
  • Network Dependency
    Requires a good internet connection to participate in coding challenges and access resources, which may be a limitation for some users.

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

HackerRank videos

+ Add

Is HackerRank A Good Idea?

More videos:

  • Review - LeetCode vs HackerRank
  • Review - Difference between HackerRank, LeetCode, topcoder and Codeforces

Category Popularity

0-100% (relative to Keras and HackerRank)

Keras

HackerRank

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Hiring And Recruitment
0 0%
Hiring And Recruitment
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Online Learning
0 0%
Online Learning
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 HackerRank

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

HackerRank 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 10 Developer Communities You Should Explore
HackerRank’s challenges cover a wide range of topics and difficulty levels, allowing developers to enhance their problem-solving skills and learn new algorithms and data structures. The competitive nature of HackerRank challenges adds a fun element to the learning process. Developers can track their progress, compete with others, and participate in company-sponsored coding...
Source: www.qodo.ai
Discover the Top Leetcode Alternatives
HackerRank offers a wide array of challenges across various domains such as algorithms, mathematics, SQL, and functional programming. Its interface is user-friendly, and the platform provides detailed feedback on submissions, which is ideal for beginners and experienced coders alike.
Source: codenquest.com
Best Alternatives to LeetCode For Data Science
HackerRank is another valuable alternative to LeetCode. They're not very "niche" but I had to include them on this list because they're a great resource for data science practice. On HackerRank, you can learn and test your competitive programming skills. If you have basic knowledge of Python and SQL and you're looking to sharpen your skills for an interview, then this...
Source: www.stratascratch.com
15 Best LeetCode Alternatives 2023
HackerRank is a platform that matches developers with companies. The platform has two options. The first one is for companies looking to hire developers. The second option is for job seekers looking to improve their coding skills, prepare for interviews, and get hired.
Source: rigorousthemes.com

Social recommendations and mentions

Based on our record, HackerRank should be more popular than Keras. It has been mentiond 66 times since March 2021. 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 / 19 days 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 / 7 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 / 11 months 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
View more

HackerRank mentions (66)

  • Pick up new languages faster this way!
    Firstly, solve some common data structure problems with it. Implement some data structures like arrays, linked lists, stacks, queues, etc. You can check common problems on LeetCode, Hackerank or some other resources. - Source: dev.to / about 1 year ago
  • Offline alternative of hackerrank.com to practice coding offline
    I don't have a consecutive internet connection and I can't keep up learning process so I started practicing in hackerrank.com I have started some challenges in python and c++ there. Thus I have no internet connection so I cannot practice if anyone know any alternative that works like Working: Gives a challange User sumbits code and it test into testcases. Source: over 1 year ago
  • 6 Key Tips for Beginners Learning JavaScript
    An effective way to improve your JavaScript skills is working through coding challenges and exercises. Sites like ReviewNPrep, FreeCodeCamp, and HackerRank have tons of challenges that allow you to practice JavaScript concepts by building mini-projects and solving problems. These hands-on challenges force you to apply what you learn. Source: over 1 year ago
  • Help needed for selecting Colleges.
    I'm 18M Indian. Growing up I've always been a daydreamer, if you may. Since 8th grade - I'm fascinated by programming. And I'm good at it too. But I'm not cocky too. I wouldn't say I'm at an advanced level, but I can most probably solve any problem - in time - with my skills. I also keep my skills brushed by solving problems on Hacker Rank (every day or alternate days) and try my best to contribute on... Source: over 1 year ago
  • Which is best, i didn't have clue what is c language, programing is this is the best video on YouTube , which should i chose or tell me in comments for a better course
    You can try Jenny's lectures. https://www.youtube.com/playlist?list=PLdo5W4Nhv31a8UcMN9-35ghv8qyFWD9_S if you like classroom style teaching with whiteboard. For programming ,apart from tutorials the thing that helps best is practice , If you want to practice then I recommend hackerrank.com to test your understanding of programming concepts. Source: about 2 years ago
View more

What are some alternatives?

When comparing Keras and HackerRank, 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.

LeetCode - Practice and level up your development skills and prepare for technical interviews.

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

Codility - Codility provides a SaaS platform with advanced validation, security and protection features to evaluate the skills of software engineers.

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

CodeSignal - CodeSignal is the leading assessment platform for technical hiring.

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