Ahrefs Reviews

1. Cyra Brown

   | Owner at Beginu | about 2 years ago
   Excellent for discovering low competition keywords

   I've enjoyed using Ahrefs to inform content creation due to their keyword explorer being so useful for finding low difficulty keywords. I do prefer the legacy version of their site explorer in comparison to the new format so I hope that they do not retire certain elements of the platform.

   🏁 Competitors: SEMRush

Keras Reviews

Ahrefs mentions (111)

• Ahrefs vs Semrush | Which One is Better

  Ahrefs is an online software suite used for SEO and content marketing. You can discover the most valuable keywords to target, see the content that's ranking for those terms, find link building opportunities, analyze your competitors' sites. The advanced application tracking system lets its users track search engine rankings and positions. - Source: dev.to / about 1 month ago

• How to Identify Content Refresh Candidates, In Detail

  Next up, let's find articles ranking between 4 and 15.  To do this, you'll log into Ahrefs and use site explorer on the target site, navigating to "top pages."  Here's what that looks like for our property, makemeaprogrammer.com. - Source: dev.to / 5 months ago

• I figured out about the backlinking strategy that you can apply to your SEO.

  Did you know that securing backlinks from industry giants like Ahrefs, SEMrush, Get First Page, and Search Engine Land can be a game-changer for your online presence? 📈💻. Source: 6 months ago

• 2024 Google SEO Checklist: A List of Tips for Website Optimization

  Analyze competitors’ link configuration files (analyze and study competitors’ external link configuration, which can be detected through Ahrefs analysis tool);. Source: 7 months ago

• Why My Domain Authority Dropped

  Even When I checked my site on https://ahrefs.com/ he shows approx 350 domain with high DA and PA. Source: 8 months ago

Keras mentions (32)

• 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 / 7 days 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 2 months ago

• Getting Started with Gemma Models

  After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 2 months ago

• How popular are libraries in each technology

  Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 12 months ago

• Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!

  I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago