Mathematical Aspects of Deep Learning (Cambridge University Press)
Friday, 10 February 2023

In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. In this book, Philipp Grohs and Gitta Kutyniok present the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field.

The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics.

Author: Philipp Grohs and Gitta Kutyniok
Publisher: Cambridge University Press
Date: February 2023
Pages: 492
ISBN: 978-1316516782
Print:1316516784
Kindle:B0BMW15BV5
Audience: Developers interested in deep learning
Level: Intermediate/Advanced
Category: Mathematics and Artificial Intelligence

 

mathdeep

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Classic Computer Science Problems in Python

Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: ‎ ‎ B09782BT4Q
Level: Intermediate
Audience: Python developers
Category: Python
Rating: 4
Reviewer: Mike James
Classic algorithms in Python - the world's favourite language.



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Authors: Karl Wiegers and Candase Hokanson
Publisher: Addison-Wesley
Pages: 208
ISBN: 9780138190286
Print: 0138190283
Kindle: B0BTLC53FF
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank

This slim book looks at how to work out the requirements for a software project through twenty 'practices' that you c [ ... ]


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