High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! In computer science, an abstract syntax tree (AST), or just syntax tree, is a tree representation of the abstract syntactic structure of source code written in a programming language. Each node of the tree denotes a construct occurring in the source code. The syntax is 'abstract' in the sense that it does not represent every detail that appears in the real syntax. For instance, grouping parentheses are...
High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! In computer science, an abstract syntax tree (AST), or just syntax tree, is a tree representation of the abstract syntactic structure of source code written in a programming language. Each node of the tree denotes a construct occurring in the source code. The syntax is 'abstract' in the sense that it does not represent every detail that appears in the real syntax. For instance, grouping parentheses are implicit in the tree structure, and a syntactic construct such as an if-condition-then expression may be denoted by a single node with two branches. This makes abstract syntax trees different from concrete syntax trees, traditionally called parse trees, which are often built by the parser part of the source code translation and compiling process (despite a perhaps unintuitive naming). Once built, additional information is added to the AST by subsequent processing, e.g., semantic analysis.
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High Quality Content by WIKIPEDIA articles! Chase Austin (born October 3, 1989) is an American racecar driver. He is a former development driver with Hendrick Motorsports and Rusty Wallace Racing. He is currently a part-time driver in the NASCAR Camping World Truck and Nationwide series.Austin started racing when he was 8,in an old worn out go kart he built with his Dad. He earned over 60 wins while racing go karts in the late 1990s to early 2000s. In 2001, he raced in micro sprint cars and won 16 features in two years.
Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.
В книге рассказывается о том, как использовать глубокие нейронные сети для создания эффективных поисковых систем. Рассматривается несколько компонентов поисковой системы, дается представление о том, как они работают, и приводятся рекомендации по использованию нейронных сетей в разных контекстах поиска. Особое внимание уделено практическому объяснению методов поиска и глубокого машинного обучения на...
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