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    R Tutorials¶

    These tutorials introduce a few fundamental concepts in deep learning and how to implement them in R using MXNet.

    • NDArray: Vectorized Tensor Computations on CPUs and GPUs
    • Symbol and Automatic Differentiation
    • Develop a Neural Network with MXNet in Five Minutes
    • Classify Images with a PreTrained Model
    • Handwritten Digits Classification Competition
    • Callback Function
    • Custom Iterator Tutorial
    • Customized loss function


    More tutorials and examples are available in the GitHub repository.

    Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

    "Copyright © 2017-2018, The Apache Software Foundation Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."