PSO-ConvNets Dynamics 2
1 papers with code • 0 benchmarks • 0 datasets
Incorporating distilled Cucker-Smale elements into PSO algorithm using KNN and intertwine training with SGD (Pull back method)
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Most implemented papers
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate
In such framework, the vector of weights of each ConvNet is typically cast as the position of a particle in phase space whereby PSO collaborative dynamics intertwines with Stochastic Gradient Descent (SGD) in order to boost training performance and generalization.
