Description: Neural Networks, Paperback by Dhaliwal, Ranjodh Singh; Lepage-richer, Théo; Suchman, Lucy, ISBN 1517916690, ISBN-13 9781517916695, Like New Used, Free shipping in the US A critical examination of the figure of the neural network as it mediates neuroscientific and computational discourses and technical practices Neural Networks proposes to reconstruct situated practices, social histories, mediating techniques, and ontological assumptions that inform the computational project of the same name. If so-called machine learning comprises a statistical approach to pattern extraction, then neural networks can be defined as a biologically inspired model that relies on probabilistically weighted neuron-like units to identify such patterns. Far from signaling the ultimate convergence of human and machine intelligence, however, neural networks highlight the technologization of neurophysiology that characterizes virtually all strands of neuroscientific and AI research of the past century. Taking this traffic as its starting point, this volume explores how cognition came to be constructed as essentially computational in nature, to the point of underwriting a technologized view of human biology, psychology, and sociability, and how countermovements provide resources for thinking otherwise.
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Book Title: Neural Networks
Number of Pages: 110 Pages
Publication Name: Neural Networks
Language: English
Publisher: University of Minnesota Press
Item Height: 0.2 in
Subject: Social Aspects, Intelligence (Ai) & Semantics, General
Publication Year: 2024
Item Weight: 4 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 7 in
Author: Lucy Suchman, Ranjodh Singh Dhaliwal, Theo LePage-Richer
Item Width: 5 in
Series: In Search of Media Ser.
Format: Trade Paperback