
Artificial Intelligence
How Neural Networks Learn
Forward pass, loss, backpropagation and gradient descent explained step by step with a minimal worked example.
12 min readBy Amara Okafor
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Generative AI, large language models, computer vision and responsible AI explained for practitioners.

Forward pass, loss, backpropagation and gradient descent explained step by step with a minimal worked example.

What AI actually is, how modern systems are built, and where the practical limits sit for engineering work.

A diagram-first explanation of layers, weights, activations and how representations form inside a network.