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Table Of Contents

  • Welcome to MEEGNet!
  • Key Features
  • Alternatives
  • Installation
  • Tutorials
    • Preparing the dataset
    • Train Network Basics
    • How to use the dataset class
    • How to use the network class
    • MEEGNet on MNE Python EEG data
    • Saliency maps tutorial
    • Filter Visualisation tutorial
    • Grad-CAM generation and visualization tutorial
  • API Documentation
  • Contribute
  • References

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Preparing the dataset

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TutorialsΒΆ

  • Preparing the dataset
    • The data folder
    • The participants_info.csv file
    • Recap
  • Train Network Basics
  • How to use the dataset class
  • How to use the network class
  • MEEGNet on MNE Python EEG data
    • Loading EEG data from MNE
    • Creating dataset object from MNE data array
    • Creating model, training and plotting progression
  • Saliency maps tutorial
    • Generate Saliency maps
  • Filter Visualisation tutorial
    • Constants
    • Loading the model
    • Creating topomaps for the first CNN layer
    • Loading data
    • Compute outputs for loaded data
    • Generate figure
  • Grad-CAM generation and visualization tutorial
Installation
Preparing the dataset

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