Webflow Reviews

1. Margaret

   10 months ago
   Amazing

   Designing websites with Webflow has been an absolute delight. Its visual interface makes the design process intuitive and efficient. The drag-and-drop functionality for elements is a real time-saver, and the real-time preview allows for instant feedback. Customizing designs to be responsive for different devices is a breeze. Webflow's ability to handle complex animations without code is impressive. All in all, Webflow has made website creation a smooth and enjoyable process. Definitely a game-changer for web design!

   🏁 Competitors: Tilda

Keras Reviews

Webflow mentions (131)

• Lessons Learned Too Late: Reflecting on University Regrets

  You may use Wix, Webflow, WordPress, etc, to build your website and that's totally valid because they allow you to put it together much faster. And if you don't know what style to go for, they offer different templates that you can use. I'd suggest you build it from scratch using libraries like Bootstrap because it is much cheaper and also allows you to explore different technologies. The sky is the limit when it... - Source: dev.to / 3 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Webflow - WYSIWYG website builder with animations and website hosting. Free for two projects. - Source: dev.to / 4 months ago

• How To Build Your Personal Brand as a Developer

  Oncе you havе dеfinеd your uniquе valuе proposition, it's timе to dеmonstratе your capabilitiеs and еstablish yoursеlf as an authority in your fiеld. Onе еffеctivе way to showcasе your еxpеrtisе is by crеating a portfolio wеbsitе. This wеbsitе should showcasе your bеst projеcts, highlighting your tеchnical skills and problеm-solving abilitiеs. Includе casе studiеs that dеmonstratе thе challеngеs you facеd and how... - Source: dev.to / 5 months ago

• 15 tools to help you build your landing page (even if you can't code)

  Webflow = OG in the space has lots of templates to get started but has a steep learning curve. Source: 6 months ago

• From Jason: my custom digital garden in 11ty

  I made the design in Webflow and exported the site (HTML & CSS). Source: 7 months ago

Keras mentions (31)

• 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 month 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 / about 1 month 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 / 11 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

• How to query pandas DataFrames with SQL

  Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago