Канал: Ribana Roscher

Explainable machine learning (2022, 5th lecture): Interpret. by backward prop. + concept discovery

Explainable machine learning (2022, 5th lecture): Interpret. by backward prop. + concept discovery

Explainable machine learning (2022, 4th lecture): Local model-agnostic methods

Explainable machine learning (2022, 4th lecture): Local model-agnostic methods

Explainable machine learning (2022, 3rd lecture): Global model-agnostic methods

Explainable machine learning (2022, 3rd lecture): Global model-agnostic methods

Explainable machine learning (2022, 2nd lecture): Looking into a neural network

Explainable machine learning (2022, 2nd lecture): Looking into a neural network

Explainable machine learning (2022, 1st lecture): Introduction

Explainable machine learning (2022, 1st lecture): Introduction

Remote Sensing Image Analysis and Interpretation: Density estimation

Remote Sensing Image Analysis and Interpretation: Density estimation

Remote Sensing Image Analysis and Interpretation: Classification with Bayes' theorem

Remote Sensing Image Analysis and Interpretation: Classification with Bayes' theorem

Remote Sensing Image Analysis and Interpretation: Feature extraction and image segmentation

Remote Sensing Image Analysis and Interpretation: Feature extraction and image segmentation

Remote Sensing Image Analysis and Interpretation: Image analysis and interpretation basics

Remote Sensing Image Analysis and Interpretation: Image analysis and interpretation basics

Remote Sensing Image Analysis and Interpretation: Introduction to Remote Sensing

Remote Sensing Image Analysis and Interpretation: Introduction to Remote Sensing

Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and CNNs

Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and CNNs

SemCity Toulouse: A Benchmark for Building Instance Segmentation in Satellite Images

SemCity Toulouse: A Benchmark for Building Instance Segmentation in Satellite Images

Explain it to me - Facing Remote Sensing Challenges in the Bio- and Geosciences with Explainable ML

Explain it to me - Facing Remote Sensing Challenges in the Bio- and Geosciences with Explainable ML

Learning with Real-World and Artificial Data for Improved Vehicle Detection in Aerial Imagery

Learning with Real-World and Artificial Data for Improved Vehicle Detection in Aerial Imagery

Multi-Modal Deep Learning with Sentinel-3 Observations for the Detection of Oceanic Internal Waves

Multi-Modal Deep Learning with Sentinel-3 Observations for the Detection of Oceanic Internal Waves

What Identifies a Whale by its Fluke? On the Benefit of Interpretable ML for Whale Identification

What Identifies a Whale by its Fluke? On the Benefit of Interpretable ML for Whale Identification

Was macht Ihr eigentlich in der Fernerkundung in Bonn?

Was macht Ihr eigentlich in der Fernerkundung in Bonn?

Advanced Machine Learning for Remote Sensing: Convolutional and Recurrent Neural Networks

Advanced Machine Learning for Remote Sensing: Convolutional and Recurrent Neural Networks

Advanced Machine Learning for Remote Sensing: Train neural networks

Advanced Machine Learning for Remote Sensing: Train neural networks

Advanced Machine Learning for Remote Sensing: Representation learning

Advanced Machine Learning for Remote Sensing: Representation learning

Advanced Machine Learning for Remote Sensing: Neural Networks

Advanced Machine Learning for Remote Sensing: Neural Networks

Advanced Machine Learning for Remote Sensing: Basics

Advanced Machine Learning for Remote Sensing: Basics

Advanced Machine Learning for Remote Sensing: Welcome

Advanced Machine Learning for Remote Sensing: Welcome