Based on our record, Writesonic should be more popular than TensorFlow. It has been mentiond 32 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.
Generative AI can help you create text quickly and efficiently. Tools such as Jadve AI and Writesonic can assist. - Source: dev.to / 5 months ago
If that's the criteria, then fair, but AIMD produces articles that are virtually indistinguishable from what an average copywriter would compose if you hired them. AIMD is very different from your typical article generators (like https://writesonic.com/, which good God I don't know why anyone would use, but they are doing good, so good for them) that is just spinning out... - Source: Hacker News / over 1 year ago
In principle, I agree with you. I spent a lot of time thinking about this subject and it boils down to: I can try to do this in such a way that creates the best possible outcome or I can wait for someone else to do it in such a way that makes it worse for everyone. Take something like https://writesonic.com/ as an example. It is backed by Y Combinator and claims to have 5M+... - Source: Hacker News / over 1 year ago
Finally, I stopped at those three main list tools: WriteSonic, CopyAI, and Jasper. And two additional ones, which are Gocharlie and MarketOwl. Source: over 1 year ago
2. Writesonic Writesonic is another popular AI writing tool that can help you generate text for a variety of purposes, including blog posts, articles, product descriptions, and social media posts. Writesonic is a great tool for anyone who needs to create high-quality content quickly. Writesonic.com. Source: almost 2 years 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 2 years 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 3 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: almost 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 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 3 years ago
Copy.ai - We have created the world's most advanced artificial intelligence copywriter that enables you to create marketing copy in seconds!
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Jasper.ai - The Future of Writing Meet Jasper, your AI sidekick who creates amazing content fast!
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
ChatGPT - ChatGPT is a powerful, open-source language model.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.