NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.

What's the buzz about Google JAX? Find out how JAX combines Autograd and XLA for blazing-fast numerical computing and machine learning research on CPUs, GPUs, and TPUs.

Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...