KI:STE E-Learning

Explainable machine learning

2nd lecture: Looking into a neural network - Explainable machine learning

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Lessons

1st lecture: Introduction - Explainable machine learning

2nd lecture: Looking into a neural network - Explainable machine learning

3rd lecture: Global model-agnostic methods - Explainable machine learning

4th lecture: Local model-agnostic methods - Explainable machine learning

5th lecture: Interpret. by backward prop. + concept discovery - Explainable machine learning

2nd lecture: Looking into a neural network - Explainable machine learning

Topics covered in this video: • Visualizing model components (weights, activations) • DeConvNets • Activation maximization

Lecturer

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Ribana Roscher

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Additional Material

Additional Material

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