197 - Light GBM vs XGBoost for semantic image segmentation
Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_for_microscopists
The dataset used in this video can be downloaded from the link below. This dataset can be used to train and test machine learning algorithms designed for multiclass semantic segmentation. Please read the Readme document for more information.
https://drive.google.com/file/d/1HWtBaSa-LTyAMgf2uaz1T9o1sTWDBajU/view?usp=sharing
Note: Annotate images at www.apeer.com to create labels.
XGBoost documentation:
https://xgboost.readthedocs.io/en/latest/
https://lightgbm.readthedocs.io/en/latest/
pip install lightgbm
Видео 197 - Light GBM vs XGBoost for semantic image segmentation канала DigitalSreeni
https://github.com/bnsreenu/python_for_microscopists
The dataset used in this video can be downloaded from the link below. This dataset can be used to train and test machine learning algorithms designed for multiclass semantic segmentation. Please read the Readme document for more information.
https://drive.google.com/file/d/1HWtBaSa-LTyAMgf2uaz1T9o1sTWDBajU/view?usp=sharing
Note: Annotate images at www.apeer.com to create labels.
XGBoost documentation:
https://xgboost.readthedocs.io/en/latest/
https://lightgbm.readthedocs.io/en/latest/
pip install lightgbm
Видео 197 - Light GBM vs XGBoost for semantic image segmentation канала DigitalSreeni
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