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    Pedro Domingos Views Neural Networks as Embedded Symbolic Systems

    The computer science professor emeritus posted his perspective on the nature of neural networks.

    PD
    1 Source, 25d ago, first seen 25d ago

    TLDR

    Pedro Domingos, Professor Emeritus of Computer Science at the University of Washington and author of The Master Algorithm, made a statement in a public post. He asserted that neural networks function as symbolic systems. According to his description, symbols are embedded inside the networks while rules possess weights attached to them. The message positions this as a way to understand the structure of neural networks. The post originates from his account and reflects his expertise as an academic focused on artificial intelligence topics. No additional context or external confirmation is provided in the packet regarding reactions or further elaboration.

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    1 Source, first seen 25d ago

    Combined views

    8.4K

    1 Source, first seen 25d ago

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    8 reposts

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    17 comments
    43 saves
    8 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @pmddomingosNeural networks are just symbolic systems where symbols are embedded and rules have weights.

    1 Source

    @pmddomingosNeural networks are just symbolic systems where symbols are embedded and rules have weights.