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Stack Overflow Trends VS Keras

Compare Stack Overflow Trends VS Keras and see what are their differences

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Stack Overflow Trends logo Stack Overflow Trends

Current programming and technology trends by Stack Overflow

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.
  • Stack Overflow Trends Landing page
    Landing page //
    2023-08-06
  • Keras Landing page
    Landing page //
    2023-10-16

Stack Overflow Trends features and specs

  • Data-Driven Insights
    Stack Overflow Trends provides data-driven insights into programming languages and technologies' popularity, helping developers and organizations make informed decisions.
  • Timeliness
    The trends are based on recent data, reflecting current industry tendencies and giving users an up-to-date view of technology trends.
  • Visualization
    The platform offers clear visualizations, like graphs and charts, making it easier to interpret the data and understand how different technologies have evolved over time.
  • Filtered Data
    Users can filter the data by segments and tags, allowing for a more granular view that aligns with specific interests or industry sectors.

Possible disadvantages of Stack Overflow Trends

  • Biased Sample
    The data is sourced from Stack Overflow users, which might not represent the entire developer population and can lead to skewed insights.
  • Focus on Popularity
    Trends emphasize popularity, which might not necessarily correlate with the quality, usefulness, or suitability of a technology for specific needs.
  • Lack of Context
    The visualizations provide limited context about why a technology is trending, making it difficult to understand underlying factors influencing changes.
  • Historical View
    The focus on historical trends may not capture emerging technologies that have not yet gained significant traction or are just starting to be discussed in the industry.

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.

Stack Overflow Trends videos

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Keras videos

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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

Category Popularity

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Stack Overflow Trends

Keras

Chatbots
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Chatbots
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Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Trends
100 100%
Trends
0% 0
Data Science Tools
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Data Science Tools
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User comments

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Reviews

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

Stack Overflow Trends Reviews

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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

Social recommendations and mentions

Keras might be a bit more popular than Stack Overflow Trends. We know about 35 links to it since March 2021 and only 28 links to Stack Overflow Trends. 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.

Stack Overflow Trends mentions (28)

  • D Programming Language
    It has, but it wasn't adopted by the pragmatists in that time. It's hard to tell if the early adopters adopted it either - It doesn't show up at all in the 2023 stack overflow survey (nor in the previous two years) - https://survey.stackoverflow.co/2023/#technology-most-popular-technologies - It doesn't show up in questions asked on Stackoverflow since 2008 -... - Source: Hacker News / over 1 year ago
  • We migrated our back end from Vercel to Fly.io and the challenges we faced
    > In 2017 I had React projects in production for years. I doubt that. React wasn't stable until 2015, and wasn't mainstream until 2016. > And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are faster than React out-of-the-box. Again, Next.js != React; the former builds on the latter, it doesn't replace it nor does it claim to be the same... - Source: Hacker News / over 1 year ago
  • We migrated our back end from Vercel to Fly.io and the challenges we faced
    > Prior to Next.js, React was hard to setup and maintain No, it wasn't. > I started using Next.js in 2017. It made React a real production framework In 2017 I had React projects in production for years. > React was hard to setup and maintain and hard to make it go fast (on first load) And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are... - Source: Hacker News / over 1 year ago
  • Ask HN: Why Did Python Win?
    Based on what? https://insights.stackoverflow.com/trends?tags=python%2Cjava. - Source: Hacker News / over 1 year ago
  • Ask HN: Why Did Python Win?
    Fair enough, my information is outdated. StackOverflow agrees. [1] [1] https://insights.stackoverflow.com/trends?tags=django%2Cruby-on-rails. - Source: Hacker News / over 1 year ago
View more

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 / 8 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 / 6 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

What are some alternatives?

When comparing Stack Overflow Trends and Keras, you can also consider the following products

Smarty Bot - Wiki for tech teams, right where work happens

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.

Slack Overflow - A programmer's best friend, now in Slack.

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

Google Trends Visualizer - Beautifully visualize real-time search trends

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

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