The people behind TensorFlow soon took note of this, and adopted many of PyTorch’s most popular features in TensorFlow 2.0. ... TensorFlow is not all about Python. TensorFlow isn’t dead.

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

TensorFlow is a free and open source library that is available for Python, JavaScript, C++, and Java. This flexibility lends itself to a wide range of applications in many different sectors.

TensorFlow is available on Windows, macOS, and Linux and can be installed via Python’s pip package manager. It supports cloud platforms like Google Cloud, AWS, and Azure for enterprise ...

The TensorFlow project announced the release of version 2.3.0, featuring new mechanisms for reducing input pipeline bottlenecks, Keras layers for pre-processing, and memory profiling.

Well, certainly. It’s not like TensorFlow has stood still for all that time. TensorFlow 1.x was all about building static graphs in a very un-Python manner, but with the TensorFlow 2.x line, you ...