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Module catalog

40 interactive modules. Filter by cluster or search by topic, method or keyword.

  • Deep learning

    Neural Network Capacity Explorer

    Train a small tabular MLP and watch training AUC climb with capacity while internal test AUC refuses to follow.

    neural networkoverfittingcapacity
  • Deep learning

    Convolution Kernel Laboratory

    Hand-design 3×3 convolution kernels — blurs, edge detectors, sharpeners — and see exactly what a CNN's first layer discovers automatically.

    convolutionCNNedge detection
  • Deep learning

    Receptive Field & Parameter Explorer

    Stack convolution layers, add pooling and dilation, and watch how quickly — or slowly — a network gains a global view of the image.

    receptive fieldCNN architecturepooling
  • Deep learning

    Multimodal Fusion: Incremental Value Explorer

    Fuse a clinical model and an imaging model by weighted averaging, and test whether the combination actually beats the stronger baseline.

    multimodalfusionincremental value
SOCR logo

Interactive companion to the BPAD textbook, built by the BPAD team and the Statistics Online Computational Resource (SOCR) at the University of Michigan.

Project

  • BPAD textbook site
  • SOCR
  • BPAD on GitHub

Using these modules

Every demonstration runs entirely in your browser with a fixed random seed, so results are reproducible and shareable in class. No data leaves your machine.

BPAD Interactive · SOCR, University of Michigan