About Connectome

Making Neural Networks Tangible

Connectome is an interactive educational platform designed to demystify neural networks through hands-on visualization. Rather than presenting abstract equations, we let you see, touch, and manipulate the fundamental building blocks of deep learning in real-time.

The name "Connectome" is borrowed from neuroscience, where it refers to the complete map of neural connections in a brain. Similarly, this tool helps you understand the connections, weights, and transformations that allow artificial neural networks to learn and make predictions.

Our Approach

Visualization First

Every concept is accompanied by interactive visuals. Watch data flow through neurons, see how weights affect outputs, and observe gradients propagate backward through the network. Understanding comes from seeing.

Build From Foundations

We start with a single neuron and gradually introduce complexity. Each lesson builds upon the last, ensuring you develop a solid mental model before moving to more advanced topics.

Intuition Over Memorization

Formulas are tools, not the goal. By experimenting with parameters and observing results, you develop intuition for why neural networks behave the way they do—knowledge that transfers to real-world applications.

Learn at Your Pace

There's no time pressure. Experiment freely, break things, and discover how the pieces fit together. The playground is always available for open-ended exploration beyond the structured lessons.

Who Is This For?

  • Students encountering neural networks for the first time in coursework and seeking supplementary visual explanations.
  • Self-learners working through online courses or textbooks who want an interactive complement to theoretical material.
  • Educators looking for demonstration tools to illustrate concepts in lectures or workshops.
  • Curious minds who have heard about AI and machine learning and want to understand what's actually happening beneath the surface.

About the Author

Isaac Lloyd

Isaac Lloyd

I am a cyber operations and computer science student at Cedarville University, building secure technology that solves real problems. Through developing software at Northrop Grumman and competing in cybersecurity competitions, I've learned to deliver high-quality work in fast-paced environments.

I believe great technology needs both architects who deeply understand systems and collaborators who connect with people—I aim to be both. Connectome emerged from that same drive: a curiosity to make the inner workings of neural networks tangible and accessible to others while also deepening my own understanding.

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Technical Notes

Built With

Connectome is built with Next.js and React Flow, enabling smooth, interactive node-based visualizations. All computations run directly in your browser—no data is sent to external servers, and no account is required.

The project is open source and welcomes contributions. Whether you want to add new lessons, improve visualizations, or fix bugs, your help is appreciated.

Connectome

Making neural networks understandable through interactive visualization

Built by Isaac Lloyd with React Flow and Next.js