Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere.
Weipeng LiXiaogang YangChuanxiang LiRuitao LuXueli XiePublished in: CoRR (2021)
Keyphrases
- neural network
- training algorithm
- feed forward
- training process
- feed forward neural networks
- back propagation
- feedforward neural networks
- neuron model
- training patterns
- artificial neural networks
- neural network training
- linear programming
- multi layer perceptron
- training set
- learning rules
- synaptic weights
- neural network structure
- high dimensional
- sparse data
- spiking neurons
- recurrent networks
- backpropagation algorithm
- weight update
- supervised learning
- fuzzy logic
- train a neural network
- spiking neural networks
- network architecture
- training phase
- recurrent neural networks
- neural network model
- genetic algorithm
- hidden layer
- fault diagnosis
- sparse representation
- training examples
- np hard
- neural network is trained
- objective function
- weighted sums