Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives

Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives
PDF, ePUB
  • eBook:
    Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives
  • Author:
    Sandro Skansi
  • Edition:
    1st ed. 2020 edition
  • Categories:
  • Data:
    2020-02-26
  • ISBN:
    3030375900
  • ISBN-13:
    9783030375904
  • Language:
    English
  • Pages:
    140
  • Format:
    PDF, ePUB

Book Description
This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton.
Topics and features:
  • Provides a brief history of mathematical logic, and discusses the critical role of philosophy, psychology, and neuroscience in the history of AI
  • Presents a philosophical case for the use of fuzzy logic approaches in AI
  • Investigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguistics
  • Examines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferences
  • Debates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living being
  • Investigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AI
  • Explores philosophical questions at the intersection of AI and transhumanism
This inspirational volume will rekindle a passion for deep learning in those already experienced in coding and studying this discipline, and provide a philosophical big-picture perspective for those new to the field.

Content

1. Mathematical Logic: Mathematics of Logic or Logic of Mathematics
2. The McCulloch–Pitts Paper from the Perspective of Mathematical Logic
3. From the Linguistic Turn to the Cognitive Turn and Back Again
4. Why Not Fuzzy Logic?
5. Meaning as Use: From Wittgenstein to Google’s Word2vec
6. Rudolf Carnap–The Grandfather of Artificial Neural Networks: The Influence of Carnap’s Philosophy on Walter Pitts
7. A Lost Croatian Cybernetic Machine Translation Program
8. The Architectures of Geoffrey Hinton
9. Machine Learning and the Philosophical Problems of Induction
10. The Artificial Intelligence Singularity: What It Is and What It Is Not
11. AI-Completeness: Using Deep Learning to Eliminate the Human Factor
12. Transhumanism and Artificial Intelligence: Philosophical Aspects

Download Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives PDF or ePUB format free


Free sample

Download in .PDF format



Download in .ePUB format


Add comments
Прокомментировать
Введите код с картинки:*
Кликните на изображение чтобы обновить код, если он неразборчив
Copyright © 2019