Based on our record, DeepL Translator should be more popular than TensorFlow. It has been mentiond 15 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.
Add "on" to the end of this question and it will be properly written. Use deepl.com/translator and deepl.com/write to help you out with English writing and avoid forms that are too colloquial ("wanna"). Source: about 2 years ago
I suggest you to explain the problem in your words (and native language) and translate it in english with https://deepl.com/translator. Source: over 2 years ago
Also if you find German ressources, use deepl.com/translator to translate the content. Source: over 2 years ago
That's objectively not true, it's much better than it used to be. Deepl is generally better for some languages though. Source: over 2 years ago
You could try this one everywhere: https://deepl.com/translator Best translator so far fmpov. Source: almost 3 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: about 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
Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.
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.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Weglot - Translate your website instantly, no code required
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.