Introduction to Mathematics for Understanding Deep Learning
- ISBN-10
- 1618965441
- ISBN-13
- 9781618965448
- Category
- Mathematics
- Pages
- 93
- Language
- English
- Published
- 2018-08-30
- Publisher
- Scientific Research Publishing, Inc. USA
- Author
- Kazuyuki FUJII
Description
Deep Learning is the heart of Artificial Intelligence and will become a most important field in Data Science in the near future. Deep Learning has attracted much attention recently. It is usually carried out by the gradient descent method, which is not always easy to understand for beginners. When one starts studying Deep Learning first hurdles are (1) how to choose the learning rate (2) how to avoid being trapped by local minima (3) what is a deep meaning of the minibatch. In this book I plan to offer intuitive answers to these questions within my understandings. As a matter of course, when beginners study Deep Learning some mathematical knowledge from Calculus, Linear Algebra, Statistics and Information are required. In the book I gave minimum knowledge required for understanding Deep learning. After reading the book, readers are encouraged to challenge advanced books of Deep Learning (or Artificial Intelligence).
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