Gradient descent

HOW IT IS BUILT The methods behind it Neural network Deep learning Recurrent neural netw… Multi-objective optim… WHAT IT CAN DO Its core abilities — — — — WHERE IT IS USED Bayesian Optimiza… · Quantum machine l… Backpropagation · Analog computing GD learns · reasons · acts
How it's built
What it can do
Where it's used

Gradient descent is a mathematical algorithm that finds the lowest point of a function by repeatedly taking small steps in the direction where the function decreases most steeply. Imagine you're standing on a foggy hillside and want to reach the valley below, but you can only see the ground directly beneath your feet.

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