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Based on our record, Google Translate seems to be a lot more popular than TensorFlow. While we know about 509 links to Google Translate, 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.
Additionally, YouTube’s system supports multiple languages and is regularly updated to include new ones. This multilingual capability is made possible by training models on diverse datasets and leveraging translation technologies like Google Translate. - Source: dev.to / 24 days ago
20 years ago, in simpler times, people were sharing badly done human translations: https://archive.org/details/engrishtwotowerssubtitles And just plain mistakes: http://news.bbc.co.uk/2/hi/7702913.stm I've also encountered a case of real paid humans translating the English word "drake", in a mythological context where it was obviously a dragon, as if it were used in the sense of "male duck". Myself, I decided to... - Source: Hacker News / about 2 months ago
As stated in the video, it translates to 'beach beast'. What I find remarkable is how difficult it seems for a lot of native English speakers to correctly pronounce the word. https://translate.google.com/?sl=nl&tl=en&text=strandbeest&op=translate. - Source: Hacker News / 6 months ago
*Automating Translation with Machine Translation Systems * Integrating machine translation can significantly speed up the localization process. Tools like Lingvanex, Google Translate, or DeepL offer APIs that enable instant translation. However, it’s not enough to simply “turn on” machine translation—you need to integrate it thoughtfully for maximum impact. - Source: dev.to / 6 months ago
答: 水! But! My experience with LLM translation is much the same as with LLM code generation or GenAI images: anyone with actual skill in whatever field you're asking for support with, can easily do better than the AI. It's a fantastic help when you would otherwise have an intern, and that's a lot of things, but it's not the right tool for every job. * I assume this is grammatically gibberish in Chinese, I'm relying... - Source: Hacker News / 6 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 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
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Microsoft Translator - Microsoft Translator is your door to a wider world.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Mate Translate - Ultimate translation app for Mac, iOS, Chrome and many more
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.