Residual Memory Networks: Feed-forward approach to learn long temporal dependencies.
Murali Karthick BaskarMartin KarafiátLukás BurgetKarel VeselýFrantisek GrézlJan Honza CernockýPublished in: CoRR (2018)
Keyphrases
- feed forward
- temporal dependencies
- recurrent networks
- back propagation
- artificial neural networks
- neural network
- neural nets
- spiking neurons
- recurrent neural networks
- biologically plausible
- spatial and temporal
- spiking neural networks
- feed forward neural networks
- activation function
- hidden layer
- genetic algorithm
- temporal patterns
- fuzzy logic
- motion analysis
- temporal information
- space time
- temporal relationships
- feature vectors
- spatio temporal
- moving objects
- data analysis