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8 Best Articles on Tensorflow

The most useful articles on tensorflow from around the web—beginners to advanced—curated by thought leaders and our community. We focus on timeless pieces and update the list whenever we discover new, must-read articles or videos—make sure to bookmark and revisit this page.

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Top 5 Tensorflow Articles

At a glance: these are the articles that have been most read, shared, and saved on tensorflow by Refind users in 2023 so far.

  1. Tensorflow — Neural Network Playground
  2. TensorFlow in a Nutshell  —  Part One: Basics
  3. A comprehensive introduction to Tensorflow's Sequential API and model for deep learning
  4. TensorFlow Is Open-Source, But Why?
  5. Maximum Likelihood Estimation from scratch in TensorFlow Probability

Videos

Watch a video to get a quick overview.

What is ...?

New to #tensorflow? These articles make an excellent introduction.

Short Articles

Short on time? Check out these useful short articles on tensorflow—all under 10 minutes.

Long Articles

These are some of the most-read long-form articles on tensorflow.

Related Topics

Publications

We monitor hundreds of publications, blogs, newsletters, and news sources in Tensorflow, including:

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Towards Data Science

A Medium publication sharing concepts, ideas, and codes. Share your insights and projects with like-minded readers: http://bit.ly/write-for-tds.

What is Refind?

Every day Refind picks the most relevant links from around the web for you. Picking only a handful of links means focusing on what’s relevant and useful. We favor timeless pieces—links with long shelf-lives, articles that are still relevant one month, one year, or even ten years from now. These lists of the best resources on any topic are the result of years of careful curation.

How does Refind curate?

It’s a mix of human and algorithmic curation, following a number of steps:

  1. We monitor 10k+ sources and 1k+ thought leaders on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
  2. In addition, our users save links from around the web using our Save buttons and our extensions.
  3. Our algorithm processes 100k+ new links every day and uses external signals to find the most relevant ones, focusing on timeless pieces.
  4. Our community of active users gets the most relevant links every day, tailored to their interests. They provide feedback via implicit and explicit signals: open, read, listen, share, mark as read, read later, «More/less like this», etc.
  5. Our algorithm uses these internal signals to refine the selection.
  6. In addition, we have expert curators who manually curate niche topics.

The result: lists of the best and most useful articles on hundreds of topics.

How does Refind detect «timeless» pieces?

We focus on pieces with long shelf-lives—not news. We determine «timelessness» via a number of metrics, for example, the consumption pattern of links over time.

How many sources does Refind monitor?

We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.

Can I submit a link?

Indirectly, by using Refind and saving links from outside (e.g., via our extensions).

How can I report a problem?

When you’re logged-in, you can flag any link via the «More» (...) menu. You can also report problems via email to hello@refind.com

Who uses Refind?

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