Presenters-0590: Difference between revisions
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|CSDMS meeting abstract presentation=Part 2 will focus on the use of Segmentation Gym (https://github.com/Doodleverse/segmentation_gym), for training and implementing deep-learning-based image segmentation models. Participants will be given datasets and models to use for their own model building and implementation, or optionally they may use their own data, for example label images they made in Part 1. Hardware needs, and common problems and their workarounds will be discussed. | |CSDMS meeting abstract presentation=Part 2 will focus on the use of Segmentation Gym (https://github.com/Doodleverse/segmentation_gym), for training and implementing deep-learning-based image segmentation models. Participants will be given datasets and models to use for their own model building and implementation, or optionally they may use their own data, for example label images they made in Part 1. Hardware needs, and common problems and their workarounds will be discussed. | ||
|CSDMS meeting youtube code= | |CSDMS meeting youtube code=mSsUT88IIH8 | ||
|CSDMS meeting participants=0 | |CSDMS meeting participants=0 | ||
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Revision as of 17:58, 17 November 2022
CSDMS 2022 Webinars
Machine Learning - Part 2
Abstract
Part 2 will focus on the use of Segmentation Gym (https://github.com/Doodleverse/segmentation_gym), for training and implementing deep-learning-based image segmentation models. Participants will be given datasets and models to use for their own model building and implementation, or optionally they may use their own data, for example label images they made in Part 1. Hardware needs, and common problems and their workarounds will be discussed.
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Of interest for: