Matrix Math & Numpy Refresher For Deep Learning – Towards Data Science

Deep learning involves a lot of matrix math, and it's important for you to understand the basics before diving into building your own neural networks. These lessons provide a short refresher on what you need to know for this course, along with some guidance for using the NumPy library to work efficiently with matrices in Python. Python is convenient, but it can also be slow. However, it does allow you to access libraries that execute faster code written in languages like C. NumPy is one such library: it provides fast alternatives to math operations in Python and is designed to work efficiently with groups of numbers -- like matrices. NumPy is a large library and we are only going to scratch the surface of it here.