Optimisation of spatial-exploitation CNN models through hyperparameter-tuning and human-in-the-loop combination

Keyphrases

• Human-in-the-loop 100%
• Convolutional Neural Network Model 100%
• Hyperparameter Tuning 100%
• Convolutional Neural Network 60%
• Classification Accuracy 40%
• Limited Computational Resources 40%
• Optimized Model 20%
• Grid Search 20%
• Time Efficiency 20%
• CIFAR-10 20%
• Convolutional Neural Network Optimization 20%
• Viable Approach 20%
• Hyperparameters 20%
• MNIST 20%
• Time Classification 20%

Computer Science

• Neural Network Model 100%
• Human-in-the-Loop 100%
• Convolutional Neural Network 100%
• Leaning Parameter 100%
• Classification Accuracy 28%
• Computational Resource 28%
• Network Optimization 14%
• Spatial Processing 14%
• Time Efficiency 14%
• Accuracy Relationship 14%