What is best optimization in AI?
Best optimization in AI refers to techniques that improve model performance, such as gradient descent, genetic algorithms, and more.
Can you explain gradient descent?
Gradient descent is an iterative optimization algorithm used to minimize a function by adjusting parameters in the opposite direction of the gradient.
What are some common optimization algorithms?
Common optimization algorithms include Stochastic Gradient Descent, Adam, RMSprop, and Newton's method.
How do I choose the right optimization algorithm?
Choosing the right optimization algorithm depends on the problem type, data size, and model architecture. Experimentation is key.
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