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  2. Multilayer perceptron - Wikipedia

    en.wikipedia.org/wiki/Multilayer_perceptron

    In 2021, a very simple NN architecture combining two deep MLPs with skip connections and layer normalizations was designed and called MLP-Mixer; its realizations featuring 19 to 431 millions of parameters were shown to be comparable to vision transformers of similar size on ImageNet and similar image classification tasks. [25]

  3. LeNet - Wikipedia

    en.wikipedia.org/wiki/LeNet

    Recognizing simple digit images is the most classic application of LeNet as it was created because of that. Yann LeCun et al. created LeNet-1 in 1989. The paper Backpropagation Applied to Handwritten Zip Code Recognition [ 4 ] demonstrates how such constraints can be integrated into a backpropagation network through the architecture of the network.

  4. List of numerical libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical_libraries

    Boost.uBLAS C++ libraries for numerical computation; deal.II is a library supporting all the finite element solution of partial differential equations. Dlib is a modern C++ library with easy to use linear algebra and optimization tools which benefit from optimized BLAS and LAPACK libraries.

  5. Perceptron - Wikipedia

    en.wikipedia.org/wiki/Perceptron

    In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers.A binary classifier is a function which can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. [1]

  6. Kaprekar's routine - Wikipedia

    en.wikipedia.org/wiki/Kaprekar's_routine

    Furthermore, it is clear that even-digits with greater than or equal to 8, [10] and with 9 digits, [11] or odd-digits with greater than or equal to 15 digits [12] have multiple solutions. Although 11-digit and 13-digit numbers have only one solution, it forms a loop of five numbers and a loop of two numbers, respectively. [ 13 ]

  7. Sigmoid function - Wikipedia

    en.wikipedia.org/wiki/Sigmoid_function

    [8] An hierarchy of sigmoid growth models with increasing complexity (number of parameters) was built [ 9 ] with the primary goal to re-analyze kinetic data, the so called N-t curves, from heterogeneous nucleation experiments, [ 10 ] in electrochemistry .

  8. MNIST database - Wikipedia

    en.wikipedia.org/wiki/MNIST_database

    The set of images in the MNIST database was created in 1994. Previously, NIST released two datasets: Special Database 1 (NIST Test Data I, or SD-1); and Special Database 3 (or SD-2).

  9. List of numeral systems - Wikipedia

    en.wikipedia.org/wiki/List_of_numeral_systems

    A binary clock might use LEDs to express binary values. In this clock, each column of LEDs shows a binary-coded decimal numeral of the traditional sexagesimal time.. The common names are derived somewhat arbitrarily from a mix of Latin and Greek, in some cases including roots from both languages within a single name. [27]