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    Neurosymbolic Program Architecture Search - Methods and Exercises

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    Neurosymbolic Program Architecture Search - Methods and Exercises

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    Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore neurosymbolic program architecture search techniques in this 43-minute tutorial presented by Yisong Yue, Swarat Chaudhuri, and Jennifer Sun. Dive into two primary methods for automatically finding optimal program architectures within domain-specific languages: basic enumerative search and RobustFill. Engage in hands-on exercises to gain practical experience with these methods. Learn about functional idioms, neurosymbolic functional DSLs, and their applications in recurrent neural encoders and counting problems. Understand the benefits of compositionality in top-down program synthesis and explore graph search depictions. Discover key ideas such as estimating "cost to go" and implementing admissible heuristics. Examine the functional representational power assumption and its implications. Conclude with a brief survey of additional methods and tackle a neurosymbolic behavior challenge to reinforce your understanding of the concepts presented.

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