As before, there are multiple ways of installing TensorFlow including Python virtual environments, “native” pip, Docker, and building from sources.

The principal language for using TensorFlow is Python, although there is limited support for C++. The tutorials supplied with TensorFlow include applications for handwritten digit classification ...

If you are adept at Python and remember your high school algebra, you might enjoy [Oliver Holloway’s] tutorial on getting started with Tensorflow in Python.

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

The article TensorFlow Optimizations on Modern Intel® Architecture introduces the specific graph optimizations, performance experiments, and details for building and installing TensorFlow with ...