Search Results for "character recognition using neural network in java"

Showing 4 open source projects for "character recognition using neural network in java"

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  • 1
    Stanza

    Stanza

    Stanford NLP Python library for many human languages

    ...The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. Stanza is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data.
    Downloads: 1 This Week
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  • 2
    Hello AI World

    Hello AI World

    Guide to deploying deep-learning inference networks

    Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train...
    Downloads: 1 This Week
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  • 3

    ZDT

    Zhongwen Development Tool - helping to study Mandarin Chinese

    The ZDT (Zhongwen Development Tool) is written in Java using the Eclipse RCP to help users study mandarin Chinese. The most important feature is the flashcard study feature. ZDT currently contains: * a Flashcard plugin for memorizing Chinese characters, their meaning and their pinyin/pronunciation. The user is able to import Character lists or enter them manually. This * a Dictionary search plugin with three dictionaries: ADSO, CeDict, HanDeDict. The HanDeDict is a German dictionary....
    Downloads: 1 This Week
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  • 4
    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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