A paradigm inspired by the human brain. Discover how computer models learn to think, classify, and understand language just like sorting toys in a giant box.
Explore the AnatomyImagine your brain with billions of neurons working together. Scientists built computer models called "Neural Networks" to mimic this.
Imagine a giant box of toys: cars, dolls, blocks. To sort them, you pick each one up and decide its category. Neural networks do the same with text—sorting books, tweets, and articles into categories like "Sports" or "Science" (Document Classification) or deciding if a review is happy or sad (Sentiment Analysis).
Input Data Stream
Simulating Classification...
Like a line of dominoes, neurons are organized into layers. The data flows, math happens, and a decision emerges.
Receives raw data, like the text from a book. The "First Domino" in the chain.
Layers in the middle that help with decision making. They do the math (add, multiply).
Makes the final decision. "Is it a Mystery or Romance novel?" The final domino falls.
The magician displays three mystical boxes to turn words into stories. Which box will you open?
Feedforward NN
Words enter and embark on a one-way journey. Like an alchemist, it refines the input step-by-step until a story type emerges at the exit. Straightforward and effective.
CNN
Uses a "magical magnifying lens" to zoom into sequences and find patterns like "Once upon a time." It detects underlying narrative styles through clues, just like looking at an image.
RNN
An intricate network of loops acting as memory vessels. It remembers past information to understand the present context. Like telling a story to a friend who remembers every detail.