Reading
This is an open-source project dedicated to explaining artificial intelligence and machine learning concepts through interactive visualization. It covers multiple domains from basic to advanced levels, including deep learning, computer vision, natural language processing, and generative AI.
Section 01
AI-ML-Explainers is an open-source educational project by ancilcleetus hosted on GitHub. Its core idea is to teach AI/ML concepts through interactive visualizations instead of static content, enabling 'learn by doing' for abstract topics like neural networks. It covers multiple domains from basics to advanced, including deep learning, computer vision, and more.
Section 02
Section 03
The project plans 6 core domains:
| Domain | Status | Progress |
|---|---|---|
| Deep Learning | Released | 7/49 (14%) |
| Machine Learning | Upcoming | — |
| Computer Vision | Released | 4/90 (4%) |
| NLP | Upcoming | — |
| Generative AI | Upcoming | — |
| Deployment | Upcoming | — |
| It's a long-term project with high-quality content despite partial completion. |
Section 04
Deep Learning (7 released):
Computer Vision (4 released):
Section 05
Unique Features:
How to Use:
Section 06
Target Users:
Learning Suggestions:
Section 07
AI-ML-Explainers represents a new direction in AI education—shifting from passive reading to active exploration. It's valuable for both new learners and practitioners to solidify basics. As more content is added, it's expected to become an important resource in AI education.
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