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Keras VS CodeSignal

Compare Keras VS CodeSignal 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.

CodeSignal logo CodeSignal

CodeSignal is the leading assessment platform for technical hiring.
  • Keras Landing page
    Landing page //
    2023-10-16
  • CodeSignal Landing page
    Landing page //
    2023-05-12

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.

CodeSignal features and specs

  • Comprehensive Coding Assessments
    CodeSignal provides a wide range of coding challenges and assessments that cover multiple programming languages and skill levels, making it suitable for diverse hiring needs.
  • Data-Driven Insights
    It offers detailed analytics and reports on candidates' coding performance, which helps in making informed hiring decisions based on real data.
  • Customizable Tests
    Companies can create custom coding tests tailored to specific job roles and requirements, ensuring that candidates are assessed on the most relevant skills.
  • Real-World Scenarios
    The platform includes coding tasks that mimic real-world problems, providing a better gauge of how candidates will perform in practical situations.
  • Ease of Use
    The user-friendly interface makes it easy for both recruiters and candidates to navigate the platform and complete assessments.
  • Integration Capabilities
    CodeSignal integrates well with other HR and recruiting tools, streamlining the workflow for hiring teams.

Possible disadvantages of CodeSignal

  • Cost
    The platform can be expensive for small and medium-sized businesses, limiting its accessibility to larger organizations with bigger budgets.
  • Learning Curve
    Though user-friendly, there may be a learning curve for new users, especially those not familiar with technical hiring tools.
  • Limited Candidate Pool
    Since users need to have some level of coding proficiency to perform well, it might not be suitable for assessing candidates who are just starting out or are from non-technical backgrounds.
  • Potential for Overfitting
    Candidates familiar with CodeSignal's specific types of questions and problems may perform better, which might not always reflect their overall coding abilities.
  • Internet Dependency
    As a cloud-based platform, it requires a stable internet connection, which might pose challenges in regions with limited connectivity.

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

CodeSignal videos

+ Add

CodeSignal Talent Stories: Marcus Currie + Evernote

More videos:

  • Review - "depositProfit" CodeSignal challenge review
  • Review - Python - CodeSignal Feedback Review 15

Category Popularity

0-100% (relative to Keras and CodeSignal)

Keras

CodeSignal

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 CodeSignal

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

CodeSignal Reviews

Examining Top 22 Alternatives to LeetCode
CodeSignal is a technical interview and assessment solution that helps organizations identify quality candidates quickly. Our platform allows recruiters and hiring managers to design consistent and well-researched tech screens and assessments. We offer a cloud-based software with advanced coding environments, supporting over 70 coding languages. CodeSignal integrates with...
Source: www.inven.ai
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
Discover the Top Leetcode Alternatives
CodeSignal is renowned for its standardized coding assessments and a robust IDE. It's an excellent platform for interview preparation and improving coding skills through timed challenges.
Source: codenquest.com
Top 25 websites for coding challenge and competition [Updated for 2021]
CodeSignal has a technical interview practice that helps you get ready for technical interviews by completing real-world assessments in an advanced IDE. It starts with customizing a personal study plan, then helps you master key topics by solving real-world questions.
Source: towardsdatascience.com

Social recommendations and mentions

Keras might be a bit more popular than CodeSignal. We know about 35 links to it since March 2021 and only 26 links to CodeSignal. 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 / 15 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 / 7 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

CodeSignal mentions (26)

  • Personal Guide to Becoming a Good Developer
    When I started, I programmed many different things in different languages. Then, I found a job as a Junior Java Developer and solved tasks on CodeSignal every day. - Source: dev.to / about 1 month ago
  • 💼 50 Tips to Land a Remote Tech Job Based on My 45-Day Journey to 2 Offers
    Platforms like HackerRank and CodeSignal host challenges that not only hone your skills but also can put you on the radar of tech companies looking for talent. - Source: dev.to / about 1 year ago
  • 20 Things You Should Consider When You Grow as a Developer
    Regularly engaging with problem-solving and algorithm challenges on platforms such as LeetCode, HackerRank, or CodeSignal can significantly sharpen this ability. - Source: dev.to / about 1 year ago
  • The Definitive Programming Roadmap: From Novice to Expert
    Coding Challenges: Platforms like Project Euler or CodeSignal offer a variety of problems that encourage logical thinking and algorithmic problem-solving. - Source: dev.to / over 1 year ago
  • 20 ways for Developers to boost income 💰
    Engage in remote hackathons and competitions on platforms like Devpost, CodeSignal, and Topcoder. Showcase your coding prowess and win cash prizes. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Keras and CodeSignal, 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.

HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.

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.

iMocha - Make intelligent talent decisions.

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