Based on our record, D (Programming Language) should be more popular than TensorFlow. It has been mentiond 55 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.
Those languages are definitely with us, https://dlang.org/ https://www.embarcadero.com/products/delphi https://www.mikroe.com/mikropascal-arm https://www.eiffel.com/ https://www.ptc.com/en/products/developer-tools/objectada. - Source: Hacker News / 17 days ago
Show examples on the main web page. Try and find an AngelScript example. It's stupidly hard. Compare it to these web sites: https://dlang.org/ https://koka-lang.github.io/koka/doc/index.html https://vale.dev/ http://mu-script.org/ https://go.dev/ https://www.hylo-lang.org/ Sadly Rust fails this too but at least the Playground is only one click away. And Rust is mainstream anyway so it doesn't matter as much. I... - Source: Hacker News / 9 months ago
>and D The D language, that is. https://dlang.org. - Source: Hacker News / 11 months ago
You are both right it seems. GP seems to have omitted withour GC. Number one on your list could be Dlang no? Not affiliated. https://dlang.org/. - Source: Hacker News / 12 months ago
Check out D. It has Turing-Complete templates with specialised static if, static foreach, version, and debug constructs, all as statements and declarations, as well as more general quasiquoting expressions and declarations with mixin (yes, that is the same as Ruby's, Python's or PHP's eval, but at compile-time; in fact you can import() files at compile-time too and write a compiler in user code that compiles... Source: 12 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 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
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.