CodeSandbox Reviews

Keras Reviews

CodeSandbox mentions (301)

• 5 engineering interview hints

  Previously, you would write solutions on paper or a whiteboard, but now most interviews are remote. The coding and algorithmic sections are usually conducted using online editors with limited syntax highlighting and code suggestions. You must be comfortable writing code in your chosen language, stay fluent, and be able to debug and test your solutions. Practice on platforms like leetcode, CodePen or CodeSandbox to... - Source: dev.to / 3 days ago

• Codepen, Codesandbox and JSFiddle support in SciChart.js

  Ok last but not least, Codesandbox. This is a newcomer to online collaborative workspaces which seems much more advanced. Codesandbox.io allows you to create node/npm projects, install packages, setup webpack or bundlers, include frameworks like React or Vue, and code in Typescript or JavaScript. It looks and acts like an IDE (VSCode) in the cloud, allowing shareable projects, not just code snippets. - Source: dev.to / 4 months ago

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

  Codesandbox.io — Online Playground for React, Vue, Angular, Preact, and more. - Source: dev.to / 5 months ago

• Top Online IDE Websites in 2024 ⌨️

  Sync your projects effortlessly with GitHub. Codesandbox. - Source: dev.to / 5 months ago

• Struggling to Learn React Or Any JavaScript Framework? Here are 7 Mistakes Holding Back (And What To Do Instead) 💪🎉

  Use online code editors such as Codesandbox or Stackblitz. They let you focus on writing code rather than dealing with local environment complexities. - Source: dev.to / 5 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 / 21 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 / 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 / 3 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 / about 1 year 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