Neural Network Architecture

Network Configuration
Network Visualization
Network Information

Input Layer

Size: 3 neurons

Purpose: Receives raw input features

Hidden Layers

Count: 2 layers

Size: 4 neurons each

Activation: ReLU

Output Layer

Size: 2 neurons

Purpose: Produces final predictions

Forward Propagation

Current step: Ready

Signal flow: Input → Hidden → Output

Each neuron computes: f(Σ wᵢxᵢ + b)

15
Total Neurons
35
Total Connections
4
Total Layers
47
Parameters