CS5720 - Week 12
Slide 230 of 240
Interactive Model Optimization Demo
Hyperparameter Controls
Learning Rate
0.001
Controls how big steps the optimizer takes during training
Batch Size
32
Number of samples processed before updating weights
Dropout Rate
0.2
Probability of randomly disabling neurons during training
Hidden Units
128
Number of neurons in hidden layers
Training Visualization
Loss Over Time
Epochs
Loss
Training
Validation
Accuracy
92.5%
Loss
0.087
Time/Epoch
2.3s
Memory
1.2GB
Optimization Playground
🚀 Start Training
📊 View Strategies
🔄 Reset
💡 Best Practices
Experiment with different hyperparameters and see their real-time impact on model performance!
Click on metric cards above for detailed explanations, or use the buttons below to explore optimization strategies.
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Prepared by Dr. Gorkem Kar
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