Deep learning, explained the way it should be — with real analogies, worked numbers, and live demos you can actually play with. One interactive page at a time.
From the humble perceptron to the doorstep of attention. Each lesson is fully interactive — drag, toggle, and watch the math respond.
The multilayer perceptron — the blueprint every other architecture is built on.
● LiveHow shared filters give a network the sense of space: conv, pooling, channels.
● LiveAdding memory and sequence — the hidden state that carries the past forward.
● LiveGates and cell state — how networks learned to remember across long sequences.
● LiveA leaner gated cell — reset and update gates, and how it compares to LSTM.
● LiveSequential compute and long-range decay — why recurrence hits a wall.
● LiveThe fixed-context bottleneck — and the idea that set up the Transformer era.
● LiveI'm Venkata — a data and AI engineer documenting my own path deeper into AI engineering, and teaching what I learn along the way. These lessons are the notes I wish I'd had: rigorous, visual, and hands-on, with none of the hand-waving.
Built for the DataMavericks community — 50K+ learners and counting.