Optimization Algorithms
Optimization algorithms are the methods AI models use to adjust their internal parameters, often called weights and biases, to minimize a defined cost or error function. They iteratively nudge these parameters in a direction that improves the model's performance on its given task, effectively learning from its mistakes. These algorithms are crucial for training any AI model, from simple linear regressions to complex deep learning architectures.
Optimization algorithms are like a sculptor carefully chipping away at a block of marble, making small, deliberate changes until the desired form is achieved.
They are the engine that allows AI models to learn and improve, directly determining how effectively a model can solve a problem.
Learn one new AI thing every day.
Daily Deck sends you seven plain-English cards like this every morning. Free.
Start free