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New book details differentiable programming fundamentals

A new book titled "The Elements of Differentiable Programming" offers a comprehensive review of the fundamental concepts behind this emerging programming paradigm. Differentiable programming allows for the end-to-end differentiation of complex computer programs, enabling gradient-based optimization of program parameters. The book approaches the subject from both optimization and probability perspectives, highlighting analogies between them and emphasizing that it involves not just differentiating programs but also designing them intentionally for differentiation. AI

IMPACT Provides foundational knowledge for developing and optimizing AI models through gradient-based methods.

RANK_REASON The item is a preprint of a book detailing fundamental concepts in a field of computer science. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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New book details differentiable programming fundamentals

COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Mathieu Blondel, Vincent Roulet ·

    The Elements of Differentiable Programming

    arXiv:2403.14606v4 Announce Type: replace Abstract: Artificial intelligence has recently experienced remarkable advances, fueled by large models, vast datasets, accelerated hardware, and, last but not least, the transformative power of differentiable programming. This new program…