Using Particle Swarm Optimization with Gradient Descent for Parameter Learning in Convolutional Neural Networks

Computer Science

• Particle Swarm Optimization 100%
• Gradient Descent 100%
• Convolutional Neural Network 100%
• Learning Parameter 100%
• Stochastic Gradient Descent 33%
• Performance Metric 16%
• Regular Network 16%
• Adaptive Learning Rate 16%
• Fold Cross Validation 16%
• Slow Convergence 16%
• Neural Network 16%
• Suboptimal Local Minimum 16%
• Convergence Rate 16%
• Momentum Term 16%

Mathematics

• Particle Swarm Optimization 100%
• Gradient-Based Method 100%
• Convolutional Neural Network 100%
• Stochastics 33%
• Minimizes 16%
• Cross-Validation 16%
• Neural Network 16%
• Loss Score 16%
• Local Minimum 16%
• Loss Function 16%
• Convergence Rate 16%

Keyphrases

• Metric Performance 16%