Abstract

This is the book to really understand the operating mechanism of deep learning.

The book starts from explaining math as easy as the 9th grade level, such as differential calculus, vector, matrix, probability, that are essential to understand the deep learning mechanism.

To support readers’ understanding in the shortest period of time, the book explains only the most necessary areas of math, and how they relate with each other are mapped on the special appendix.

Moreover, the codes written from scratch by using math are available in the Jupyter Notebook format as bonus for readers, who can learn the mechanism by actually playing around the codes on their computers.

The book helps your “deep” understanding on the operation mechanism of deep learning step by step, from introduction, theory, practice to advanced knowledge.

Author’s Information

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