Neural Network Visualizer - ML Learning Tool

📚 What is a Neural Network?

Neural networks are computing systems inspired by biological brains. They consist of layers of interconnected nodes (neurons) that process information through weighted connections. They learn by adjusting these weights through training.

Real-world applications:

Image recognition (face detection, object classification)
Natural language processing (Siri, Alexa, ChatGPT)
Game AI (AlphaGo, chess engines)
Medical diagnosis and drug discovery
Self-driving cars

🎮 Controls

Network Architecture: Hidden Layer Neurons:

Learning Rate:

Activation Function:

Ready to train

Add Training Data:

📊 Sample Datasets:

Epoch: 0

Loss: -

Accuracy: -

Data Points: 0

🧠 Neural Network Visualizer

📚 What is a Neural Network?

🎮 Controls

Training Data & Decision Boundary

Network Architecture