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  2. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Libraries for AI include TensorFlow.js, Synaptic and Brain.js. [6] Julia is a language launched in 2012, which intends to combine ease of use and performance. It is mostly used for numerical analysis, computational science, and machine learning. [6] C# can be used to develop high level machine learning models using Microsoft’s .NET suite. ML ...

  3. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    C++, Java: Java, Scala, Clojure, Python , Kotlin: Yes No [8] Yes [9] [10] No Computational Graph Yes [11] Yes Yes Yes Yes [12] Yes Dlib: Davis King 2002 Boost Software License: Yes Cross-platform: C++: C++, Python: Yes No Yes No Yes Yes No Yes Yes Yes Yes Flux: Mike Innes 2017 MIT license: Yes Linux, MacOS, Windows (Cross-platform) Julia: Julia ...

  4. Comparison of C Sharp and Java - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_C_Sharp_and_Java

    Java provides java.util.Date, a mutable reference type with millisecond precision, and (since Java 8) the java.time package (including classes such as LocalDate, LocalTime, and LocalDateTime for date-only, time-only, and date-and-time values), a set of immutable reference types with nanosecond precision. [24]

  5. C Sharp (programming language) - Wikipedia

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

    C# (/ ˌ s iː ˈ ʃ ɑːr p / 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 programming disciplines.

  6. Deeplearning4j - Wikipedia

    en.wikipedia.org/wiki/Deeplearning4j

    Eclipse Deeplearning4j is a programming library written in Java for the Java virtual machine (JVM). [ 2 ] [ 3 ] It is a framework with wide support for deep learning algorithms. [ 4 ] Deeplearning4j includes implementations of the restricted Boltzmann machine , deep belief net , deep autoencoder, stacked denoising autoencoder and recursive ...

  7. Investing in artificial intelligence (AI): A beginner’s guide

    www.aol.com/finance/investing-artificial...

    At AI’s core is big data, which data scientists, engineers, and other experts use to build complex algorithms that can take in new information to improve their performance and accuracy.

  8. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    Numpy is one of the most popular Python data libraries, and TensorFlow offers integration and compatibility with its data structures. [66] Numpy NDarrays, the library's native datatype, are automatically converted to TensorFlow Tensors in TF operations; the same is also true vice versa. [ 66 ]

  9. IMSL Numerical Libraries - Wikipedia

    en.wikipedia.org/wiki/IMSL_Numerical_Libraries

    The first IMSL Library for the Fortran language was released in 1970, followed by a C-language version originally called C/Base in 1991, a Java-language version in 2002, and the C#-language version in 2004. Several recent product releases have involved making IMSL Library functions available from Python. These releases are Python wrappers to ...