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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…
Wasserstein Training of Boltzmann Machines
Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi
The Boltzmann machine provides a useful framework to learn highly complex, multimodal and multiscale data distributions that occur in the real world. The default method to learn it…