- Published Year: 2024
- Page count: 160
- File Size: 5 MB
- Language: English
- Published by: Springer Nature Switzerland
- Visited by: 390
- Rating/Review: 4.7
- ISBN: 9783031593451
Deep Learning and Computational Physics
4.7
Reviews from our users
You Can Ask your questions from this book's AI after Login
Each download or ask from book AI costs 2 points. To earn more free points, please visit the Points Guide Page and complete some valuable actions.Related Refrences:
The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms and the techniques of computational physics to achieve two important goals. First, it uses concepts from computational physics to develop an understanding of deep learning algorithms. Second, it describes several novel deep learning algorithms for solving challenging problems in computational physics, thereby offering someone who is interested in modeling physical phenomena with a complementary set of tools. It is intended for senior undergraduate and graduate students in science and engineering programs. It is used as a textbook for a course (or a course sequence) for senior-level undergraduate or graduate-level students.
Free Direct Download
You Can Download this book after Login
Accessing books through legal platforms and public libraries not only supports the rights of authors and publishers but also contributes to the sustainability of reading culture. Before downloading, please take a moment to consider these options.
Find this book on other platforms:
WorldCat helps you find books in libraries worldwide.
See ratings, reviews, and discussions on Goodreads.
Find and buy rare or used books on AbeBooks.
1390
بازدید4.7
امتیاز0
نظر98%
رضایتReviews:
4.7
Based on 0 users review
Questions & Answers
Ask questions about this book or help others by answering
No questions yet. Be the first to ask!