Neural Network Visualizer

Explore neural networks from single perceptrons to multilayer architectures in interactive 3D

100%

Network Controls

Architecture

Input Neurons 3
Hidden Layers 2
Neurons per Layer 4
Output Neurons 2

Activation Functions

Hidden Layers
Output Layer

Visualization

Show Weights
Show Biases
Animation Speed 50

Network Presets

Total Neurons: 15
Total Connections: 38
Network Depth: 4
Animation: Stopped

Input & Output Visualization

Input Data Distribution

Output Activation

How Neural Networks Work

Educational

Neural networks are computational models inspired by the human brain. They consist of interconnected nodes (neurons) organized in layers. Each connection has a weight that adjusts during training, and each neuron applies an activation function to its inputs.

Layers: Input → Hidden → Output Activation Functions: ReLU, Sigmoid, Tanh
Learn More