AI and machine learning, explained without the jargon.
Netizen is a library of plain-English explainers on artificial intelligence, machine learning, and deep learning. Every page answers one question and gets to the point — what a thing is, how it works, and when you’d actually use it. Pick a topic below.
ChatGPT & large language models
The on-ramp: what ChatGPT is, where its answers come from, and how LLMs work under the hood — plus how to fine-tune and build your own.
Machine learning fundamentals
The vocabulary and models everything else builds on — the learning paradigms, the workhorse algorithms, and the “which one do I use?” comparisons.
Neural networks & deep learning
From a single feed-forward network to modern transformers — the architectures and building blocks behind today’s AI.
PyTorch & scikit-learn how-tos
Practical, copy-and-adapt guides to the code — layers, losses, optimizers, data loading, and the utilities you reach for on every project.
Computer vision
How machines make sense of images — classic feature detectors, dataset formats, and the mechanics of facial recognition.
Generative AI: images, video & voice
The tools behind AI-generated pictures, deepfakes, and synthetic voices — plus the Stable Diffusion settings that decide what you actually get.
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