Understand
AI.
Visually.
Deeply.
Interactive explanations of Convolutional Networks and modern ML architecture built for serious researchers and developers who want more than just theory.
The Curriculum
Interactive Modules
We transform abstract mathematics and static equations into interactive, visual play-spaces where concepts click immediately.
Architecture Playground
Visually understand how architectures scale with memory and compute.
Normalization Flow
Visualize how Batch, Layer, and RMSNorm transform data distributions.
Backpropagation
Interact with the chain rule. Propagate errors backwards through a computational graph step by step and watch the gradients flow.
Activation Functions
Explore how ReLU, Sigmoid, and GELU warp space to allow networks to learn non-linear patterns.
Convolutional Networks
See pooling layers, strides, and filters animate live over images.
Not Just Theory
No static textbook diagrams. Every concept is fully visual and interactive, driven by real client-side math.
Real Math, Real Code
See the exact mathematical formulas alongside the animations, helping bridge intuition into raw implementation.
Deep Understanding
Built to push you from foundational understanding to reading advanced research papers with absolute confidence.
The Journey
Foundations
Convolutions
Deep Networks
Scale
Stop Memorizing AI.
Start Understanding It.
Enter the Lab Hi, I am a B.Tech final year student. I built this platform to keep track of my progress and visually log the concepts I've learned during these 4 years. If you find any inaccuracies in the mathematics or implementations I've posted, please do notify me! This is a constant work in progress.