Showing 5 open source projects for "convolution"

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  • 1
    DaNNet

    DaNNet

    Deep Artificial Neural Network framework using Armadillo

    DaNNet is a C++ deep neural network library using the Armadillo library as a base. It is intended to be a small and easy to use framework with no other dependencies than Armadillo. It uses independent layer-wise optimization giving you full flexibility to train your network.
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  • 2
    Acoustic Research Tool (ART)

    Acoustic Research Tool (ART)

    Acoustic Simulation Library for Frequency and Time Domain Simulations.

    ...So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX expressions. Cylindrical and conical ducts can also be defined based on their geometry. Available models and their parameters can be enumerated and combined to form simulators for complex acoustical structures. Parameters can be specified symbolically by expressions containing other parameter values or global variables. ...
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  • 3
    Convolution arithmetic

    Convolution arithmetic

    A technical report on convolution arithmetic in deep learning

    A technical report on convolution arithmetic in the context of deep learning. The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution. The animations will be output to the gif directory. Individual animation steps will be output in PDF format to the pdf directory and in PNG format to the png directory.
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  • 4
    funkGen is a software function generator intended as an educational tool. It has a number of basic generators and transforms, but can also combine those into more complex waveforms, Ouput sound files, graphics, or just raw data.
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  • 5
    Testlab for Image Processing: You can enter formulas like "r = r + b/2; g=g*2; b=b/2" and watch/store the Result. Alternatively cou can run a convolution matrix on the source image. Implemented in Java, fully GUIed, avg. performance.
    Downloads: 0 This Week
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