A brain-inspired algorithm for training highly sparse neural networks.
Zahra AtashgahiJoost PieterseShiwei LiuDecebal Constantin MocanuRaymond N. J. VeldhuisMykola PechenizkiyPublished in: Mach. Learn. (2022)
Keyphrases
- neural network
- neural network training
- training algorithm
- training process
- detection algorithm
- dynamic programming
- preprocessing
- search space
- k means
- matching algorithm
- significant improvement
- objective function
- computational cost
- segmentation algorithm
- pattern recognition
- learning algorithm
- training phase
- expectation maximization
- cost function
- artificial neural networks
- human brain
- recognition algorithm
- reinforcement learning
- training set