The matrix calculus you need for deep learning

The matrix calculus you need for deep learning

The matrix calculus you need for deep learning

Most of us last saw calculus in school, but derivatives are a critical part of machine learning, particularly deep neural networks, which are trained by optimizing a loss function. This article is an attempt to explain all the matrix calculus you need in order to understand the training of deep neural networks. We assume no math knowledge beyond what you learned in calculus 1, and provide links to help you refresh the necessary math where needed.

Source: explained.ai/matrix-calculus/index.html

Subscribe to our Digest