Showing 3 open source projects for "backpropagation network"

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    Neural Networks: Zero to Hero

    Neural Networks: Zero to Hero

    A course on neural networks that starts all the way at the basics

    Neural Networks: Zero to Hero is Andrej Karpathy’s educational course repository for learning neural networks from the ground up. It accompanies a series of video lectures where learners code and train neural networks step by step. The project starts from basic concepts and gradually builds toward more capable character-level language models. Its notebooks are written to make the mechanics visible, so learners can understand gradients, backpropagation, embeddings, multilayer perceptrons,...
    Downloads: 3 This Week
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  • 2
    Syntactic is a simple C++ library for constructing general Neural networks. For now the library supports creation of multi layered networks for the Feedforward Backpropagation algorithm as well as Time Series Networks. More will be implemented soon.
    Downloads: 0 This Week
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  • 3
    The Pattern Recognition Analysis Project is a Java implementation of a basic multilayered backpropagation neural network, used in a color recognition and character recognition project, made for educational and experimental purposes.
    Downloads: 0 This Week
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