Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner
M Cerňanský, L Benuškov - International Conference on Artificial Neural …, 2001 - Springer
We investigate the evolution of performance of finite-context predictive models built upon the
recurrent activations of the two types of recurrent neural networks (RNNs), which are trained …
recurrent activations of the two types of recurrent neural networks (RNNs), which are trained …
Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner
M Cerňanský, L Benuškov - Artificial Neural Networks—ICANN 2001 - infona.pl
We investigate the evolution of performance of finite-context predictive models built upon the
recurrent activations of the two types of recurrent neural networks (RNNs), which are trained …
recurrent activations of the two types of recurrent neural networks (RNNs), which are trained …