Based on our record, Ethereum seems to be a lot more popular than TensorFlow. While we know about 148 links to Ethereum, 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.
After my first open-source contribution, I looked for other projects where I could contribute. One of those projects was Ethereum, which is a blockchain network that enables Decentralized Finance, tokenization of assets, and an open internet. While reading through their contributing guidelines, I found an issue in their documentation and ended up fixing it, making my second open-source contribution. - Source: dev.to / 7 months ago
Keep up to date with Bitcoin on Bitcoin.org Keep up to date with Ethereum news on Ethereum.org. Source: 8 months ago
Ethereum - The second biggest cryptocurrency platform after Bitcoin, with its own blockchain and smart contract functionality through Solidity. - Source: dev.to / 10 months ago
Coinbase makes use of the Extended Message Transfer Protocol (XMTP) communication protocol to allow messaging between Ethereum addresses. Source: 12 months ago
Elsewhere, The Sandbox is a blockchain-based virtual world built on Ethereum where players can build, own and monetise their gaming experiences. The platform utilises a ‘play-to-earn’ model to incentivise players for time spent in the metaverse, and is building an open metaverse to enable greater collaboration with creators and brands alike. Source: about 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
Bitcoin - Bitcoin is an innovative payment network and a new kind of money.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Monero - Monero is a secure, private, untraceable currency. It is open-source and freely available to all.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.