"The Mathematics of Deep Learning" is an easy-to-understand introduction to the mathematical knowledge related to deep learning based on rich illustrations and specific examples. Chapter 1 introduces the overview of neural networks; Chapter 2 introduces the basic mathematical knowledge required to understand neural networks; Chapter 3 introduces the optimization of neural networks; Chapter 4 introduces neural networks and error backpropagation method; Chapter 5 introduces deep learning and convolutional neural networks. The book uses Excel for theoretical verification to help readers intuitively experience the principles of deep learning.
Reader comments
This book is perfect for people like me who are interested in deep learning but are intimidated by the math. It explains the mathematical principles behind neural networks and deep learning in a simple and easy-to-understand way, and also uses Excel for examples, so that even a math novice like me can easily understand. Just like the pattern recognition mentioned in the book, I used to think it was difficult for a computer to recognize roses, but after reading this book, it seems that it is not that far away. And I especially hate books that are full of theories and you still don't know what they are talking about after reading it for a long time. This book is very practical and recommended!
This book is perfect for people like me who are interested in deep learning but are intimidated by the math. It explains the mathematical principles behind neural networks and deep learning in a simple and easy-to-understand way, and also uses Excel for examples, so that even a math novice like me can easily understand. Just like the pattern recognition mentioned in the book, I used to think it was difficult for a computer to recognize roses, but after reading this book, it seems that it is not that far away. And I especially hate books that are full of theories and you still don't know what they are talking about after reading it for a long time. This book is very practical and recommended!