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Perceptrons

Perceptrons

An Introduction to Computational Geometry
MathematicsScience
Pages
268
Published
1969
Language
English

Synopsis

This foundational text explores the capabilities and limitations of perceptrons, early models of neural networks. Written by pioneers in artificial intelligence, the book delves into the mathematical and computational aspects of these systems, influencing the trajectory of machine learning research for decades. It remains a critical reference for understanding the historical development of AI.

Prose complexity
10/10

Vibe

InformativeIntellectualComplexThought-Provoking

Genres

Mathematics Science Technology

Authors

M
Marvin Minsky

A philosopher and scientist, Marvin Minsky is universally regarded as one of the world's leading authorities in the field of artificial intelligence, having made fundamental contributions in the sectors of robotics and computer-aided learning technologies. In recent years he has worked chiefly on imparting to machines the human capacity for common-sense reasoning. His book Society of Mind is considered a basic text for exploring intellectual structure and function, and for understanding the dive...

S
Seymour Papert

South African-born American mathematician, computer scientist, and educator, who spent most of his career teaching and researching at MIT.