Download link:
.
.
==>
.
Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence, ISBN-13: 978-3319730035
.
<==
.
.
"Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence" provides a comprehensive overview of the fundamental concepts of deep learning, bridging the gap between theoretical foundations and practical applications. The book begins with an introduction to logical calculus and progressively delves into key topics such as neural networks, training algorithms, and advanced architectures. It emphasizes the mathematical underpinnings of deep learning while also incorporating real-world examples and case studies that illustrate the effectiveness of these techniques in various domains, ultimately guiding readers from basic principles to more complex AI applications.
.
– Title: Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence
– Authors: Sandro Skansholm, Artur J. E. Schaefer
– Publisher: Springer
– Year of Publication: 2018
– ISBN-13: 978-3319730035
– Language: English
– Format: Hardcover / eBook
.
"Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence" provides a comprehensive foundation for understanding the principles and techniques of deep learning. By bridging the gap between logical reasoning and advanced neural network architectures, the book equips readers with both theoretical insights and practical applications. Through clear explanations and illustrative examples, it emphasizes the transformative potential of artificial intelligence in various domains. This text serves as an essential resource for students, researchers, and practitioners seeking to delve into the intricacies of deep learning and its impact on technology and society.
.
