I use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.
Based on our record, Tailwind CSS seems to be a lot more popular than TensorFlow. While we know about 894 links to Tailwind CSS, 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.
TailwindCSS is a utility-first CSS framework that allows you to build modern websites without leaving your HTML. - Source: dev.to / 4 days ago
VIM-ing into the header.tsx, I write some html and some css with tailwindcss. I also added my new header component to the layouts.tsx file also. - Source: dev.to / 8 days ago
Beyond frameworks, the front-end arsenal boasts other powerful tools. Bootstrap [https://getbootstrap.com/], a giant in the design world, provides pre-designed components that save developers time and effort. On the other hand, Tailwind CSS [Tailwind CSS - Utility-first CSS framework for rapid UI development | https://tailwindcss.com/] offers a utility-first approach, allowing developers to build custom user... - Source: dev.to / 6 days ago
Utility-First frameworks, such as Tailwind CSS, provide a vast set of utility classes that can be composed directly in the HTML. This minimizes the need for custom CSS and complex selectors. - Source: dev.to / 13 days ago
I prepared a list of open-source checkbox components coded with Tailwind CSS and Material Tailwind. - Source: dev.to / 10 days 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
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Bulma - Bulma is an open source CSS framework based on Flexbox and built with Sass. It's 100% responsive, fully modular, and available for free.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
React - A JavaScript library for building user interfaces
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.