Math for Deep Learning : What You Need to Know to Understand Neural Networks by
"Math for Deep Learning: What You Need to Know to Understand Neural Networks" by Ronald T. Kneusel is a comprehensive textbook published by No Starch Press, Incorporated in 2021. This trade paperback book covers the essential mathematical concepts necessary for understanding neural networks, making it a valuable resource for students and professionals in the fields of computer science and mathematics. With 344 pages, this textbook provides a detailed exploration of the subject area, offering readers a solid foundation in the mathematical principles underlying deep learning techniques.
Specifications
| Country Of Origin | United States |
| ISBN | 9781718501904 |
| Item Length | 9.1 in |
| Publication Year | 2021 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 0.9 in |
| Author | Ronald T. Kneusel |
| Item Weight | 23.2 Oz |
| Item Width | 7 in |
| Number Of Pages | 344 Pages |
«Math for Deep Learning: What You Need to Know to Understand Neural Networks» by Ronald T. Kneusel is a comprehensive textbook published by No Starch Press, Incorporated in 2021. This trade paperback book covers the essential mathematical concepts necessary for understanding neural networks, making it a valuable resource for students and professionals in the fields of computer science and mathematics. With 344 pages, this textbook provides a detailed exploration of the subject area, offering readers a solid foundation in the mathematical principles underlying deep learning techniques.
