Math and Architectures of Deep Learning

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function.  Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you'll peer inside the "black box" to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It's important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders.

Math and Architectures of Deep Learning features in the following genres: Maths for computer scientists, Software Engineering, Information technology: general topics, Computer programming / software engineering, Computing and Information Technology

Paperback. £54.89, down from the £60.99 cover price. Not Available.

Math and Architectures of Deep Learning was written by Krishnendu Chaudhury and published by Manning Publications an imprint of Pearson Education

Math and Architectures of Deep Learning has 523 pages

£54.89, reduced from £60.99. Not Available.