AI Car Training Analysis

Comprehensive visualization of neural network evolution across generations

38
Generations Tracked
1,247
Neural Connections
89%
Weight Stability

Weight Evolution Heatmap

Weight Evolution Heatmap

Shows how neural network weights changed across generations. Darker areas indicate stable connections, while bright areas show active learning.

Layer-Specific Changes

Layer-Specific Changes

Individual analysis of each neural network layer, revealing which parts of the brain adapted most during training.

Weight Change Timeline

Weight Change Timeline

Timeline view showing when major neural adaptations occurred, highlighting critical learning moments.

Weight Change Timeline

Weight Change Timeline

Timeline view showing when major neural adaptations occurred, highlighting critical learning moments.

72%
Steering Smoothness
3.2s
Avg Decision Time
45%
Behavior Consistency

Decision Patterns Radar

Decision Patterns Radar

Radar chart showing how the AI's decision-making patterns evolved across different driving scenarios.

Behavioral Evolution Timeline

Behavioral Evolution Timeline

Timeline of behavioral changes, showing when the AI learned specific driving behaviors like cornering and speed control.

Behavioral Comparison

Behavioral Comparison

Side-by-side comparison of driving behaviors between early chaotic generations and later optimized ones.

234%
Distance Improvement
0.12
Optimal Mutation Rate
2.3
Avg Laps Completed

Mutation Impact Analysis

Mutation Impact Analysis

Analysis of how different mutation rates affected learning speed and final performance.

Sensor Importance Ranking

Sensor Importance Ranking

Which sensors the AI learned to prioritize for different driving situations and track sections.

Sensor Redundancy Analysis

Sensor Redundancy Analysis

Analysis of sensor overlap and which inputs provide unique vs redundant information for driving decisions.

Sensor Redundancy Analysis

Sensor Redundancy Analysis

Analysis of sensor overlap and which inputs provide unique vs redundant information for driving decisions.

12.4m
Total Distance Tracked
85%
Racing Line Efficiency
4.2x
Speed Improvement

Ghost Racing Evolution

Ghost Racing Evolution

Overlay of racing lines from different generations, showing the evolution from chaotic paths to optimized racing lines.

Heat Trail Analysis

Heat Trail Analysis

Heatmap showing the most frequently used racing lines, revealing the AI's preferred paths through the track.

Performance Overlay

Performance Overlay

Speed and steering intensity overlaid on the racing line, showing where the AI brakes, accelerates, and turns.

Project Demo Video

Watch the project demonstration showcasing the AI car's training and racing capabilities in action.

1200
Nodes Visualized
120
Active Connections
92%
Activation Accuracy

Neural Network Visualization

Interactive visualization of the neural network structure and activation patterns during training.