Fundamentals

Master neural network basics

Developer Mode

Create custom AI experiments

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Walkthrough Mode

Learn step-by-step how neural networks work

🎓 Interactive AI Learning Journey

Choose a tutorial below to start your guided exploration of neural networks. Each tutorial includes interactive demonstrations and step-by-step explanations.

🧠 Neural Network Basics

Learn what neurons, layers, and connections are. Understand how information flows through the network.

⏱️ 5 steps • 🎯 Beginner

🎯 How Training Works

Discover how neural networks learn from data through forward propagation, loss calculation, and backpropagation.

⏱️ 5 steps • 🎯 Beginner

📊 Understanding the Visualizations

Learn to read the network diagram, loss chart, and output predictions to understand what's happening.

⏱️ 4 steps • 🎯 Beginner

🔗 Logic Gates Tutorial

See how neural networks can learn simple AND, OR, and complex XOR logic gates step by step.

⏱️ 5 steps • 📈 Intermediate

🗻 Loss Landscape & Gradients

Explore the 3D loss landscape, understand gradients, and see how training navigates through parameter space.

⏱️ 6 steps • 🔥 Advanced

⚡ Advanced Visualizations

Master gradient flows, weight changes, and understand what makes neural networks tick under the hood.

⏱️ 7 steps • 🔥 Advanced
🎓 Walkthrough Mode Active

AI Task Trainer

Watch the neural network learn in real-time

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Epochs
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Accuracy
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Current

Network Architecture

Input Hidden Output

Training Progress

Loss: 1.000000

Loss Landscape & Gradients

Gradient Direction: High → Low Loss

Task Output

How it works