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created_by: Microsoft Corporation | ||
display_name: Batch file | ||
short_description: A batch file is a script file in DOS, OS/2 and Microsoft Windows. | ||
topic: batch-file | ||
logo: batch-file.png | ||
wikipedia_url: https://en.wikipedia.org/wiki/Batch_file | ||
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A batch file is a script file in DOS, OS/2 and Microsoft Windows. It consists of a series of commands to be executed by the command-line interpreter, stored in a plain text file. A batch file may contain any command the interpreter accepts interactively and use constructs that enable conditional branching and looping within the batch file, such as ``IF``, ``FOR``, and ``GOTO`` labels. The term "batch" is from batch processing, meaning "non-interactive execution", though a batch file might not process a batch of multiple data. |
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--- | ||
aliases: cs, compsci, comp-sci | ||
display_name: Computer science | ||
short_description: Study of computers and computational systems, including their design, development, and application in various fields. | ||
topic: computer-science | ||
wikipedia_url: https://en.wikipedia.org/wiki/Computer_science | ||
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Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to, information. |
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aliases: deep-neural-network | ||
display_name: Deep neural networks | ||
short_description: ANNs that are deep in the sense that they have many layers of hidden units between the input and output layers. | ||
topic: deep-neural-networks | ||
wikipedia_url: https://en.wikipedia.org/wiki/Deep_neural_networks | ||
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Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. |
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--- | ||
aliases: programming-languages | ||
display_name: Programming language | ||
short_description: A formal language that specifies a set of instructions that can be used to produce various kinds of output. | ||
topic: programming-language | ||
wikipedia_url: https://en.wikipedia.org/wiki/Programming_language | ||
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A programming language is a formal language that specifies a set of instructions that can be used to produce various kinds of output. Programming languages generally consist of instructions for computers. There are many programming languages in existence, and each has at least one implementation, each of which consists of its own set of programming tools. Some programming languages require computation to be specified in an imperative form (i.e., as a sequence of operations to perform) while other languages use the declarative form (i.e. the desired result is specified, not how to achieve it). |
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--- | ||
created_by: J. Gregorio, R. Fielding, M. Hadley, M. Nottingham, D. Orchard | ||
display_name: RFC 6570 | ||
released: March 2012 | ||
short_description: A URI Template is a compact sequence of characters for describing a range of URIs through variable expansion. | ||
topic: rfc-6570 | ||
url: https://www.rfc-editor.org/rfc/rfc6570 | ||
related: uri-template | ||
wikipedia_url: https://en.wikipedia.org/wiki/URI_Template | ||
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A URI Template is a compact sequence of characters for describing a range of Uniform Resource Identifiers through variable expansion. |