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Deep Function Learning Examples

Before You Begin

This tab presents example code for using the RPN model to tackle various deep function learning tasks with the tinybig library.

We assume you have already read the PRN paper and completed the provided tutorials, so we won't repeat technical information about model components. Instead, we'll provide runnable code and model configurations that directly address these deep function learning problems.


Example Organization

The examples are organized according to the data modalities into different sections.

  • Examples of Continuous Functions


    Examples to use tinybig library for continuous function approximation.

    function_data

    Examples include

    • Elementary function approximation
    • Composite function approximation
    • Feynman function approximation
    • etc.

    Get started

  • Examples of Vision Processing


    Examples to use tinybig library for vision data processing.

    image_data

    Examples include

    • MNIST hand-written digit classification
    • CIFAR10 image object recognition
    • etc.

    More information...

  • Examples of Language Processing


    Examples to use tinybig library for language data processing.

    language_data

    Examples include

    • IMDB review polarity classification
    • AGNews news topic inference
    • SST2 text sentiment prediction
    • etc.

    More information...

  • Examples of Tabular Processing


    Examples to use tinybig library for tabular data processing.

    tabular_data

    Examples include

    • Iris species prediction
    • Diabetes disease diagnosis
    • Banknote authentication inference
    • etc.

    More information...