Higher Education · Artificial Intelligence
Neural Networks
What is it
A neural network is a computing structure loosely inspired by the brain, made of layers of interconnected nodes that transform an input into an output through weighted connections adjusted during training — undergraduate study covers the mathematics of forward and backward passes in detail.
Why it matters
Neural networks are the foundational building block underlying nearly all modern AI systems, and understanding how a simple network actually computes and learns — rather than treating it as a black box — is essential before tackling more complex deep learning architectures.
Exam tip
Trace through a small neural network's forward pass by hand with actual numbers before relying purely on library code — this concrete exercise makes concepts like weights, activations, and backpropagation genuinely intuitive rather than abstract formulas.
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