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Course: Exploring the Intersection of Deconvolution, GPU Computing, and Deep Learning

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deconvolution-gpu-dl-course

Exploring the Intersection of Deconvolution, GPU Computing, and Deep Learning

Introduction

This course explores both classical deconvolution and AI approaches to image restoration and how GPU computing is used for both.

Outline

  • the basics of deconvoluton
  • how to use GPUs for deconvolution
  • how to train deep neural networks for image restoration

License

CC BY 4.0

This work is licensed by Brian Northan Creative Commons Attribution 4.0 International License.

We have re-used material from https://biapol.github.io/PoL-BioImage-Analysis-TS-GPU-Accelerated-Image-Analysis/ which was licensed by Brian Northan, Till Korten, Neringa Jurenaite, Apurv Deepak Kulkarni, Peter Steinbach, Sebastian Starke, Johannes Soltwedel, Marvin Albert and Robert Haase under a Creative Commons Attribution 4.0 International License.

This repository is maintained using Jupyter lab and build using Jupyter book.

Acknowledgements

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Course: Exploring the Intersection of Deconvolution, GPU Computing, and Deep Learning

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