research
∙
01/30/2023
Quantifying and maximizing the information flux in recurrent neural networks
Free-running Recurrent Neural Networks (RNNs), especially probabilistic ...
share
research
∙
06/04/2022
Classification at the Accuracy Limit – Facing the Problem of Data Ambiguity
Data classification, the process of analyzing data and organizing it int...
research
∙
11/07/2019
Sparsity through evolutionary pruning prevents neuronal networks from overfitting
Modern Machine learning techniques take advantage of the exponentially r...
research
∙
11/05/2018