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  2. Transfer learning - Wikipedia

    en.wikipedia.org/wiki/Transfer_learning

    Illustration of transfer learning. Transfer learning ( TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. [1] For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.

  3. C Sharp (programming language) - Wikipedia

    en.wikipedia.org/wiki/C_Sharp_(programming_language)

    C Sharp Programming at Wikibooks. C# ( / ˌsiː ˈʃɑːrp / see SHARP) [b] is a general-purpose high-level programming language supporting multiple paradigms. C# encompasses static typing, [16] : 4 strong typing, lexically scoped, imperative, declarative, functional, generic, [16] : 22 object-oriented ( class -based), and component-oriented ...

  4. List of .NET libraries and frameworks - Wikipedia

    en.wikipedia.org/wiki/List_of_.NET_libraries_and...

    This is an open source unit testing framework for .NET, written in C# and thus cross-platform. It is one of many programs in the xUnit family. Licensed under MIT License. Object–relational mapping.NET Framework natively provides utilities for object–relational mapping through ADO.NET, a part of the .NET stack since version 1.0. In the ...

  5. CS50 - Wikipedia

    en.wikipedia.org/wiki/CS50

    CS50 ( Computer Science 50) is an on-campus and online introductory course on computer science taught at Harvard University and Yale University. In 2016, CS50 became available to high school students as an Advanced Placement Computer Science course. The on-campus version is Harvard's largest class with 800 students, 102 staff, and up to 2,200 ...

  6. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    Convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel) optimization. . Vanishing gradients and exploding gradients, seen during backpropagation in earlier neural networks, are prevented by using regularized weights over fewer co

  7. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing ( NLP) is an interdisciplinary subfield of computer science and information retrieval. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or ...

  8. Control flow - Wikipedia

    en.wikipedia.org/wiki/Control_flow

    Control flow. v. t. e. In computer science, control flow (or flow of control) is the order in which individual statements, instructions or function calls of an imperative program are executed or evaluated. The emphasis on explicit control flow distinguishes an imperative programming language from a declarative programming language.

  9. Transfer of learning - Wikipedia

    en.wikipedia.org/wiki/Transfer_of_learning

    Transfer of learning. Transfer of learning occurs when people apply information, strategies, and skills they have learned to a new situation or context. Transfer is not a discrete activity, but is rather an integral part of the learning process. Researchers attempt to identify when and how transfer occurs and to offer strategies to improve ...