When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks.
Zhiyu ZhuZhen-Peng BianJunhui HouYi WangLap-Pui ChauPublished in: CoRR (2020)
Keyphrases
- neural network
- learning algorithm
- reinforcement learning
- learning process
- learning rules
- supervised learning
- learning tasks
- learning systems
- online learning
- error back propagation
- artificial neural networks
- pattern recognition
- knowledge acquisition
- prior knowledge
- learning scheme
- neural nets
- learning analytics
- cascade correlation
- deep architectures
- neural network model
- learning problems
- mobile learning
- self organizing maps
- learning styles
- unsupervised learning
- active learning
- training set