Gradient descent

HOW IT IS BUILT The methods behind it Neural network Deep learning Recurrent neural netw… Bayesian Optimization WHAT IT CAN DO Its core abilities WHERE IT IS USED Quantum machine l… · White noise Trust region 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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