All topics / backpropagation
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Backpropagation
An algorithm for training neural networks by propagating error signals backward through the network.
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The neighbourhood: backpropagation and the ideas it travels with. Drag to roam, click a star for the episode, click a neighbour to travel.
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The lexicon
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What the corpus says
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Jay McClelland argues that neural networks provide a framework for understanding human cognition by mimicking biological processes.
Jay McClelland · Jay McClelland: Neural Networks and the Emergence of Cognition
The concept of punctuated equilibrium suggests that human cognitive evolution may have involved sudden leaps rather than gradual changes.
Jay McClelland · Jay McClelland: Neural Networks and the Emergence of Cognition
Semantic dementia illustrates the emergent nature of cognition, where higher-level cognitive functions deteriorate progressively.
Jay McClelland · Jay McClelland: Neural Networks and the Emergence of Cognition
The backpropagation algorithm, developed by Rumelhart and Hinton, revolutionized neural network training by enabling error correction across multiple layers.
Jay McClelland · Jay McClelland: Neural Networks and the Emergence of Cognition
McClelland criticizes the current biomedical model of psychiatry, arguing it has not significantly advanced mental health treatment.
Jay McClelland · Jay McClelland: Neural Networks and the Emergence of Cognition
Voices on backpropagation
4 standout quotes from across the corpus.
Go read
3 books and papers cited across these episodes.
For the specialist
What experts find new
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At the frontier
Still unresolved
1 open questions flagged across these conversations.
The thinkers
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