Based on our record, Zeal should be more popular than TensorFlow. It has been mentiond 63 times since March 2021. 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.
There's also Zeal (https://zealdocs.org/) which is basically the same as Dash but open source and runs on non-Mac devices. - Source: Hacker News / 5 months ago
For offline tech documentation you can use Zeal. Must have tool for poor internet connection places. Present in ubuntu repos. https://zealdocs.org/. Source: 6 months ago
Check out Zeal if git cloning docs is something you do. https://zealdocs.org/. - Source: Hacker News / 9 months ago
There’s stuff like https://zealdocs.org/ that allow you to take all relevant documentation with you so offline coding will work. If you just want to be productive, you could also bring a lot of books or downloaded tutorials on a drive. Btw, make sure your drive is encrypted and you think of a way to backup your data so you don’t lose the offline progress. - Source: Hacker News / 9 months ago
I’d suggest you look into Kiwix¹ and also Zeal². 1. https://www.kiwix.org/ 2. https://zealdocs.org/. - Source: Hacker News / 11 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
DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Dash for macOS - Dash is an API Documentation Browser and Code Snippet Manager. Dash searches offline documentation of 200+ APIs and stores snippets of code. You can also generate your own documentation sets.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
DASH - DASH is a secure, blockchain-based global financial network which offers private transactions.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.