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Getting Started:

  • Welcome to dlsia’s documentation!
  • Install dlsia
  • Network initialization
  • Training
  • Saving and loading models

Basic dlsia Workflows

  • Segmention demo in 2D using Mixed-scale Dense Networks and Tunable U-Nets
  • Demo on how to save and load models

SMSNet Ensemble Learning

  • Ensemble Learning with Randomized Sparse Mixed-Scale Networks

Image Denoising

  • Supervised Image Denosing with MSDNets and SMSNet ensembles
  • Self-supervised denoising using ensembles

Image Classification

  • Image classification via an ensemble of Randomized Sparse Mixed Scale Networks
  • Image classification with Randomized Sparse Mixed Scale Autoencoders, regularized by the availability of image labels

Autoencoder Latent Space:

  • Latent Space Exploration with UMap and Randomized Sparse Mixed Scale Autoencoders
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© Copyright 2023, Peter Zwart & Eric Roberts. Revision 458d70d0.

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