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Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
Grégoire Montavon, Sebastian Bach, Alexander Binder +2
Nonlinear methods such as Deep Neural Networks (DNNs) are the gold standard for various challenging machine learning problems, e.g., image classification, natural language processi…
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Sebastian Bach, Alexander Binder, Grégoire Montavon +2
Fisher Vector classifiers and Deep Neural Networks (DNNs) are popular and successful algorithms for solving image classification problems. However, both are generally considered `b…
Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek, Alexander Binder, Grégoire Montavon +2
Deep Neural Networks (DNNs) have demonstrated impressive performance in complex machine learning tasks such as image classification or speech recognition. However, due to their mul…