NeuroForge AI Lab
SIMULATION ACTIVE
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Active Model
Neural Network
Multi-layer perceptron with backpropagation
Decision Tree
Hierarchical decision boundaries
K-Nearest Neighbors
Instance-based learning
Support Vector Machine
Maximum margin classifier
Network Architecture
Hidden Layers
3
Neurons per Layer
8
Training Parameters
Learning Rate
0.01
Training Epochs
100
Dataset
Data Points
150
Noise Level
0.2
Train Model
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Run Inference
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Neural Network Visualization
0%
Accuracy
0.00
Loss
0
Epoch
60
FPS
Training Metrics
Model Accuracy
0%
Training Loss
0.00
Learning Progress
0%
Training Log