CS5720 - Week 9
Slide 177 of 180
Debugging Deep Learning Models
Essential Debugging Tools
📊
TensorBoard & Visualization
Monitor training in real-time with interactive graphs
📈
Gradient Analysis
Check for vanishing/exploding gradients
🔍
Model Hooks & Callbacks
Inspect intermediate layer outputs
⚡
Performance Profiling
Identify bottlenecks and memory issues
Common Issues & Solutions
🚫
Model Not Learning
Loss stuck or increasing during training
📉
Overfitting
Great training performance, poor validation
💥
NaN/Inf Values
Numerical instabilities during training
💾
Out of Memory
GPU/RAM exhaustion problems
Systematic Debugging Workflow
1
Reproduce Issue
2
Simplify Problem
3
Inspect & Analyze
4
Fix & Validate
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Prepared by Dr. Gorkem Kar
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