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The Exploding Gradient Problem

The exploding gradient problem happens when the gradient norm grows without control during backpropagation, especially in deep and recurrent networks with large weights. Training destabilises and the loss turns into NaN. Gradient clipping, together with good initialisation and normalisation, is the standard fix used today.

Technology

The Perceptron, the Artificial Neuron and Its Maths

The perceptron is the simplest artificial neuron: it takes several inputs, multiplies them by its weights, adds a bias and applies an activation function that decides between two outputs. Frank Rosenblatt introduced it in 1958, and it remains the basic building block of every modern neural network.