Optimization
The process of adjusting model parameters to minimize the loss function and improve performance.
In italiano: OttimizzazioneOptimization uses algorithms like gradient descent, Adam, and RMSprop to update model weights. The goal is to find optimal parameters that minimize prediction error.
Examples
- Adam optimizer for fast training
- SGD with momentum
- Learning rate scheduling