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3D Deep Learning Course
Poux, Florent
2024
 

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Keywords :
3D Deep Learning; Point Cloud; Segmentation; Classification; 3D Reconstruction
Abstract :
[en] The course includes the full framework for coming up with AI processing workflows, understanding why and how 3D can extend 2D approaches, developing and testing 3D Deep Learning Models, getting quickly working models on various OS, building your own product and training datasets, training, tuning, engineering and much more. It provides a complete, tried-and-true system that you can use to build and grow as a 3D Deep Learning Expert.
Disciplines :
Computer science
Author, co-author :
Poux, Florent  ;  Université de Liège - ULiège > Département de géographie > Geospatial Data Science and City Information Modelling (GeoScITY)
Language :
English
Title :
3D Deep Learning Course
Original title :
[en] 3D Deep Learning Course
Publication date :
05 January 2024
Publisher :
3D Geodata Academy, Toulouse, France
Course title or code :
3DDL-1 Develop End to End 3D Systems with 3D Deep Learning
Institution :
3D Geodata Academy, Toulouse, France
Available on ORBi :
since 16 February 2024

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