AI-ML-Explainers
🧠 Interactive AI/ML Visual Explainers
Interactive visual explainers for AI/ML — from absolute basics to advanced topics — covering:
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing (NLP)
- Generative AI
- And beyond 🚀
📚 Table of Contents
- Roadmaps
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- Generative AI
- Miscellaneous
🗺️ Roadmaps
Detailed explainer roadmaps for each area:
| Area | Roadmap | Progress |
|---|---|---|
| 🔴 Deep Learning | View Roadmap → | 4 / 17 (24%) |
| 🟢 Machine Learning | Coming soon | — |
| 🔵 Computer Vision | Coming soon | — |
| 🟡 Natural Language Processing | Coming soon | — |
| 🟣 Generative AI | Coming soon | — |
🟢 Machine Learning
Coming soon 🔜
🔴 Deep Learning
📋 View Deep Learning Explainer Roadmap →
| Explainer | Description | Status |
|---|---|---|
| The Neuron & Forward Pass Explainer | Step-by-step visualization of how a neuron computes output |  |
| Activation Functions Explainer | Visualization of various activation functions | |
| Loss & Gradient Descent Explainer | Visualization of loss, gradient descent, and how neural networks learn step by step | |
| Loss Functions Overview Explainer | Visual introduction to loss functions — what loss is, task-to-loss mapping, and interactive deep dive into MSE, MAE, Huber, and Cross-Entropy with a practical decision guide | |
| Cross-Entropy Loss Explainer | Cross-entropy loss explained from first principles — information theory intuition, binary vs categorical formulas, and an interactive multiclass classification example |  |
🔵 Computer Vision
| Explainer | Description | Status |
|---|---|---|
| How Machines Learned to See Explainer | Interactive introduction to the two paradigms of computer vision — local feature extraction with CNNs and global attention with Vision Transformers | |
🟡 Natural Language Processing
| Explainer | Description | Status |
|---|---|---|
| Word Embeddings | Visual intuition behind embeddings |  |
🟣 Generative AI
| Explainer | Description | Status |
|---|---|---|
| Transformers Explainer | Attention mechanism visualization | |
| GPT Explainer | To be added | |
🟠 Miscellaneous
Coming soon 🔜
💡 How to Use
- Click on any explainer link
- Open in browser
- Interact and learn visually
🚀 Vision
This repository aims to become a visual-first learning hub for AI/ML, where concepts are understood through interaction rather than static content.