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Neural Networks
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Neural Networks

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ProduktVarenr.PrisHandling
Neural Networks9781517916695164,95 krTil butik
Neural Networks9781517916695164,95 krTil butik

Produktdetaljer

Neural Networks

Neural Networks

Lucy Suchman, Ranjodh Singh Dhaliwal og Théo LePage-RicherMatematik og naturvidenskab

164,95 kr

Til butik
Varenr.:
9781517916695

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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Neural Networks

Neural Networks

Lucy Suchman, Ranjodh Singh Dhaliwal og Théo LePage-RicherBog

164,95 kr

Til butik
Varenr.:
9781517916695

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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