#3741
Mentioned in 13 episodes

Perceptrons

Book • 2017

Mentioned by

Mentioned in 13 episodes

Mentioned by Balaji Srinivasan in discussion of perceptrons and neural networks.
461 snips
Balaji Srinivasan: The Network State
Mentioned by
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Anil Ananthaswamy
as a book by Marvin Minsky and Seymour Papert that analyzed machines that learn.
176 snips
336 | Anil Ananthaswamy on the Mathematics of Neural Nets and AI
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Anil Ananthaswamy
when discussing its impact on neural network research in the 1970s.
93 snips
The Mysterious Math Behind LLMs | Anil Ananthaswamy
Mentioned as a book that assessed the limitations of the perceptron.
38 snips
Artificial Intelligence – Part One – Deus ex machina
Mentioned by Marvin Minsky and Seymour Papert to demonstrate that single-layer neural networks can only compute linear functions.
36 snips
Babbage: The science that built the AI revolution—part one
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Rodney Brooks
while discussing the history of neural networks and the impact of this book.
28 snips
#217 – Rodney Brooks: Robotics
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Ray Kurzweil
as a book he co-authored with Seymour Papert, discussing perceptrons and neural networks.
28 snips
Season 4, Episode 9: Ray Kurzweil, The Singularity is Nearer: When We Merge with AI
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Yann LeCun
to highlight its theoretical arguments about the limitations of perceptrons.
16 snips
WTF is Artificial Intelligence Really? | Yann LeCun x Nikhil Kamath | People by WTF Ep #4
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Pedro Domingos
as a book that criticized the Perceptron.
15 snips
#248 Pedro Domingos: How Connectionism Is Reshaping the Future of Machine Learning
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Stephen Wolfram
as a book arguing that perceptrons and neural nets can't do anything interesting.
11 snips
The AI Expert: "Super AI Will Be Unstoppable!"– What’s Coming NEXT _ Stephen Wolfram

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