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The Introduction of the Chainer Framework Precursors

    Computer scientists began designing modular, dynamic computational graph neural network libraries in Python, moving away from static, rigid compilation configurations and paving the way for the development of modern “define-by-run” deep learning frameworks.

    Part of the 32 AI Roots Facts: 2012 Edition archive. HistoricallyVerified

    Top 5 Structural Foundations: Origins

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