Software Alternatives, Accelerators & Startups

TensorFlow VS NewsBlur

Compare TensorFlow VS NewsBlur and see what are their differences

TensorFlow logo 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.

NewsBlur logo NewsBlur

NewsBlur is a personal news reader that brings people together to talk about the world.
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • NewsBlur Landing page
    Landing page //
    2018-09-30

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

NewsBlur videos

Newsblur - an online open-source RSS reader

More videos:

  • Review - Anleitung zum RSS-Feed-Reader Newsblur
  • Tutorial - Newsblur and RSS: A Quick Tutorial

Category Popularity

0-100% (relative to TensorFlow and NewsBlur)
Data Science And Machine Learning
RSS
0 0%
100% 100
AI
100 100%
0% 0
RSS Reader
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 TensorFlow and NewsBlur

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
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
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

NewsBlur Reviews

19 Best Feedly Alternatives To Track Insights Across The Web
NewsBlur NewsBlur is a web-based RSS reader that provides a simple and fast way to keep up with your favorite websites. It offers features such as filtering, text-to-speech, and the ability to share stories on social media. Web, iOS, Android
17 Best RSS Feed Reader And News Aggregation Apps
NewsBlur also has intelligent content filters that you can use to scrutinize the content in your feed. These content discovery filters can actually learn the pattern of your searches and you can teach them too. This way you can see customized stories. Even if a source is publishing articles in bulk, it will show you only those of your interest.
The Best RSS Feed Readers for Streamlining the Internet
One thing that sets Newsblur apart is that it's open source. You can see the code on Github, and if you're comfortable with the command line you can even set up your own self-hosted version of Newsblur on your own server.
Source: www.wired.com
Hello, RSS
I looked at what RSS readers were popular by checking out my website analytics. I’ve always seen Feedly and Newsblur in there as referrers, but have also started to see Inoreader as well. Feedly has a robust offering, and it was a product I used a bit many years ago. It has a higher price point than some other services but in the end I just didn’t like the design. It felt...
Top 6 Free Online RSS Readers
NewsBlur is another popular RSS reader that aims to bring your articles from your favorite sites while maintaining the style of the original site. Easily organize your stories with categories and tags, hide stories you don't like and highlight stories you do like. You can also take a look at some of the third-party apps NewsBlur can be integrated with for even more versatility.

Social recommendations and mentions

Based on our record, NewsBlur should be more popular than TensorFlow. It has been mentiond 20 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.

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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NewsBlur mentions (20)

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What are some alternatives?

When comparing TensorFlow and NewsBlur, you can also consider the following products

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

Feedly - The content you need to accelerate your research, marketing, and sales.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Inoreader - Dive into your favorite content. The content reader for power users who want to save time.

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

Tiny Tiny RSS - Web-based news feed aggregator, designed to allow you to read news from any location, while feeling...