Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations

no code implementations • 2 Apr 2020 • Richard Meyes, Constantin Waubert de Puiseau, Andres Posada-Moreno, Tobias Meisen

The need for more transparency of the decision-making processes in artificial neural networks steadily increases driven by their applications in safety critical and ethically challenging domains such as autonomous driving or medical diagnostics.

Autonomous Driving Decision Making +1