The Matrix Calculus You Need For Deep Learning
by Terence Parr, Jeremy Howard
Publisher: arXiv.org 2018
Number of pages: 33
Description:
This paper 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.
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