Based on our record, CodeSandbox seems to be a lot more popular than TensorFlow. While we know about 301 links to CodeSandbox, we've tracked only 7 mentions of TensorFlow. 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.
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
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
Codesandbox.io — Online Playground for React, Vue, Angular, Preact, and more. - Source: dev.to / 5 months ago
Sync your projects effortlessly with GitHub. Codesandbox. - Source: dev.to / 5 months ago
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
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
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
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
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
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
CodePen - A front end web development playground.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
JSFiddle - Test your JavaScript, CSS, HTML or CoffeeScript online with JSFiddle code editor.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.