Showing 3 open source projects for "dl"

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  • 1
    Companion notebooks for Deep Learning

    Companion notebooks for Deep Learning

    Jupyter notebooks for the code samples of the book

    Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The...
    Downloads: 0 This Week
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  • 2
    Tensorflow and deep learning

    Tensorflow and deep learning

    A crash course in six episodes for software developers

    Tensorflow and deep learning repository is an educational deep learning crash course designed to help software developers quickly understand and apply machine learning concepts without requiring advanced academic background. It is structured as a series of guided lessons that combine theoretical explanations, practical examples, and runnable code, allowing learners to build intuition while actively experimenting with models. The repository covers core neural network concepts such as weights,...
    Downloads: 0 This Week
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  • 3
    DL For Monaural Source Separation

    DL For Monaural Source Separation

    Deep Recurrent Neural Networks for Source Separation

    Deep Recurrent Neural Networks for Source Separation.
    Downloads: 0 This Week
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