Lesson type
Difficulty level
Introduction to Neural Networks - Day 10 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 54:12
Speaker: : Moritz Wolter
Introduction to Convolutional Neural Networks - Day 11 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 42:07
Speaker: : Moritz Wolter
Initialization, Optimization, and Regularization - Day 12 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 42:07
Speaker: : Moritz Wolter
U-Nets for medical Image-Segmentation - Day 13 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 16:45
Speaker: : Moritz Wolter
Sequence Processing - Day 15 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 47:45
Speaker: : Moritz Wolter
Course:
This lecture gives an introduction to the INCF Short Course: Introduction to Neuroinformatics.
Difficulty level: Beginner
Duration: 34:27
Speaker: : Marja-Leena Linne
Course:
Presented by the OHBM OpenScienceSIG, this lesson covers how containers can be useful for running the same software on different platforms and sharing analysis pipelines with other researchers.
Difficulty level: Beginner
Duration: 01:21:59
Speaker: : Tom Shaw & Steffen Bollmann