Explainer
What is a neural network?
Neural networks power much of modern AI. Here is an intuitive explanation with no maths required.
Spark Academy Editorial
24 Sept 2026 · 5 min read
A neural network is a function with adjustable knobs. You give it an input, it produces an output, and training is the process of turning the knobs until the outputs become useful.
Layers of simple steps
Each layer performs a simple calculation and passes its result to the next. Stack enough layers and the network can represent surprisingly rich patterns, from handwriting to language.
Learning from mistakes
During training the network compares its output to the right answer, measures the error and nudges every knob slightly to reduce it. Repeat that millions of times and useful behaviour emerges.
What to remember
Networks do not understand in the human sense. They are statistical tools, which is exactly why evaluation and human oversight matter.
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