Software Alternatives, Accelerators & Startups

Keras VS NetNut.io

Compare Keras VS NetNut.io 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.

NetNut.io logo NetNut.io

Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.
  • Keras Landing page
    Landing page //
    2023-10-16
  • NetNut.io Landing page
    Landing page //
    2021-06-06

NetNut empowers enterprises to anonymously collect, analyze, and extract web data via its extensive global network of residential IPs. With NetNut, businesses can delve deep into web data, gaining crucial insights about their customers and competitors alike. In addition, NetNut provides a comprehensive suite of data scraping tools, website unblocking solutions and professional datasets, enabling effortless access to public web data.

Keras

Website
keras.io
Pricing URL
-
$ Details
Platforms
-
Release Date
-

NetNut.io

Website
netnut.io
$ Details
paid Free Trial $99.0 / Monthly (28GB)
Platforms
Windows Android Mac OSX Browser iOS Linux C Chrome OS Perl Python .Net REST API Google Chrome Web PHP JavaScript Node JS Ruby
Release Date
2017 February

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.

NetNut.io features and specs

  • Global Proxy Network
    NetNut.io offers a robust, high-quality global proxy network that provides extensive coverage and reliability, which is ideal for applications like web scraping, data harvesting, or accessing geo-blocked content.
  • Rotating IP Addresses
    The service provides rotating IP addresses which can help in preventing bans and CAPTCHAs during scraping activities by simulating natural browsing activities.
  • High-Speed Connectivity
    NetNut.io offers high-speed connections with minimal latency, making it a suitable choice for tasks that require rapid data transfer.
  • Customer Support
    NetNut.io offers responsive and knowledgeable customer support, which can assist in troubleshooting and optimizing the use of their proxy services.
  • User-Friendly Dashboard
    The platform features a user-friendly dashboard that allows for easy management and monitoring of proxy usage, making it accessible even for users who might not be very technical.

Keras videos

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

NetNut.io videos

NetNut Residential Proxy Network

Category Popularity

0-100% (relative to Keras and NetNut.io)
Data Science And Machine Learning
Proxy
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Residential Proxies
0 0%
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 NetNut.io

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...

NetNut.io Reviews

  1. Netnut-io
    · Working at NetNut.io ·

Top 10 Alternatives to Bright Data (formerly Luminati Proxy Networks)
The Netnut proxy service is one of the unique proxy services in the market – while other residential proxy services get their IPs from P2P networks, Netnuthas direct connectivity with ISPs and, as such, gets its IPs directly from them. From this provider, you can get true static proxies that retain IP addresses for as long as you want. Interestingly, they have got a rotating...
17 BEST Residential Proxies to Buy in 2022 (Cheap & Premium)
As compared to all the names above, Netnut.io is new in the market of residential proxies. Despite that, the IP pool of the proxy provider has grown to include over 10 million residential IPs.
Source: earthweb.com
Best Proxy Providers for Web Scraping
Netnut.io is another big proxy provider, which offers bandwidth based proxy plans for datacenter, residential and ISP proxies.
Source: scrapfly.io

Social recommendations and mentions

Based on our record, Keras should be more popular than NetNut.io. It has been mentiond 35 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 / 18 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

NetNut.io mentions (6)

  • Stealth Mode—Enhanced Bot Detection Evasion—Launch week day 3
    (Optional) Using a proxy server. You would need to secure proxy services from an external proxy provider (NetNut, BrightData, or similar) to configure things like host, username, and password separately. - Source: dev.to / 6 months ago
  • Cheap Residential Proxy: Affordable and Reliable Proxy Service for Anonymous Browsing
    Utilize Residential Proxies: Residential proxies come with the advantage of having whitelisted IPs tied to real devices, making them reliable for web scraping and anonymous browsing. Providers like Oxylabs, SOAX, and NetNut offer residential proxy services that can cater to your specific needs. Source: over 1 year ago
  • Best Proxy Website? Reddit recommendations?
    NetNut. Good speed and reliable. They have a large pool of IPs. Source: about 2 years ago
  • VIP72 is DEAD.
    You should use residential proxies, they almost never get blocked. Check NetNut proxies, they have both HTTP and SOCKS5 if you need it. Source: almost 3 years ago
  • HOW MANY TYPES OF PROXIES ARE THERE, AND HOW TO DEFINE THEM?
    To lessen your headache, team NeNut has provided information about the three common types of proxies with their features so that you will be able to pick a suitable one. Take a look at them to understand better which proxy you will need as per your requirements:. Source: about 3 years ago
View more

What are some alternatives?

When comparing Keras and NetNut.io, 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.

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

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

Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.

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

Smartproxy - Smartproxy is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.