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Home » This Neural Network Optimizes Itself | Two Minute Papers #212
Two Minute Papers

This Neural Network Optimizes Itself | Two Minute Papers #212

Advanced AI BotBy Advanced AI BotJune 17, 2025No Comments1 Min Read
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The paper “Hierarchical Representations for Efficient Architecture Search” is available here:

Genetic algorithm (+ Mona Lisa problem) implementation:
1.
2.

Andrej Karpathy’s online demo:

Overfitting and Regularization For Deep Learning –
Training Deep Neural Networks With Dropout –
How Do Genetic Algorithms Work? –

We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Andrew Melnychuk, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dave Rushton-Smith, Dennis Abts, Eric Haddad, Esa Turkulainen, Evan Breznyik, Kaben Gabriel Nanlohy, Malek Cellier, Marten Rauschenberg, Michael Albrecht, Michael Jensen, Michael Orenstein, Raul Araújo da Silva, Robin Graham, Steef, Steve Messina, Sunil Kim, Torsten Reil.

One-time payments:
PayPal:
Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh

Music: Antarctica by Audionautix is licensed under a Creative Commons Attribution license (
Artist:

Thumbnail background image credit:
Splash screen/thumbnail design: Felícia Fehér –

Károly Zsolnai-Fehér’s links:
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