Know-Legal Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  3. Replit - Wikipedia

    en.wikipedia.org/wiki/Replit

    Replit is an online integrated development environment ( IDE) that can be used with a variety of programming languages. Replit originally supported over 50 programming language but as of February 23, 2022, Replit uses the Nix package manager [17] which allows users access to the entire Nixpkgs package database.

  4. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers ...

  5. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Machine learningand data mining. These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning ), computer hardware, and, less ...

  6. Conformal prediction - Wikipedia

    en.wikipedia.org/wiki/Conformal_prediction

    Conformal prediction ( CP) is a machine learning framework for uncertainty quantification that produces statistically valid prediction regions ( prediction intervals) for any underlying point predictor (whether statistical, machine, or deep learning) only assuming exchangeability of the data. CP works by computing nonconformity scores on ...

  7. Model order reduction - Wikipedia

    en.wikipedia.org/wiki/Model_order_reduction

    Model order reduction aims to lower the computational complexity of such problems, for example, in simulations of large-scale dynamical systems and control systems. By a reduction of the model's associated state space dimension or degrees of freedom, an approximation to the original model is computed which is commonly referred to as a reduced ...

  8. StyleGAN - Wikipedia

    en.wikipedia.org/wiki/StyleGAN

    StyleGAN. An image generated using StyleGAN that looks like a portrait of a young woman. This image was generated by an artificial neural network based on an analysis of a large number of photographs. StyleGAN is a generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, [ 1] and made source available in February ...

  9. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow.nn is a module for executing primitive neural network operations on models. [ 38] Some of these operations include variations of convolutions (1/2/3D, Atrous, depthwise), activation functions ( Softmax, RELU, GELU, Sigmoid, etc.) and their variations, and other operations ( max-pooling, bias-add, etc.).