Based on our record, Diaspora should be more popular than TensorFlow. It has been mentiond 29 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.
> whatever that Ruby-based alternative was, that Zuck famously invested in, but to which I have zero memory of the name right now I think you're referring to Diaspora. https://diasporafoundation.org/ https://en.wikipedia.org/wiki/Diaspora_(social_network). - Source: Hacker News / about 1 year ago
Maybe if reddit manages to kill itself, one of the decentralized projects like diaspora will expand. Source: about 1 year ago
I remember making similar comments about Diaspora vs Facebook a decade ago, but people are... lazy. Yeah, let's go with lazy. Source: over 1 year ago
To be fair, its not Mastodon, its the #Fediverse. Mastodon is arguably the least rich platfrom on the 'verse. IMHO Friendica is where its at, and you can still communicate with all the twitter refugees on Mastodon, as well as meater content on services likeDiaspora*, not to mention full integration with Lemmy (which works fairly similar to Reddit) while Masto you can see lemmy posts and replies without having to... Source: over 1 year ago
Several upstarts have tried to capture what you're talking about. Diaspora was an early entry, the Fediverse is another that seems to be gaining momentum in a way Diaspora never did. Source: over 1 year 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
Mastodon - Mastodon is a decentralized, open source social network. This is just one part of the network, run by the main developers of the project It is not focused on any particular niche interest - everyone is welcome!
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.