Glossario IA
Il dizionario completo dell'Intelligenza Artificiale
Pre-trained Model
A neural network that has already been trained on a large dataset (like ImageNet) for a generic task, whose weights and architecture are then reused for more specific tasks.
Frozen Layers
Technique consisting of disabling the weight (gradient) updates of certain layers of a pre-trained model during fine-tuning, in order to preserve the learned representations and prevent overfitting.
Differential Learning Rate
Fine-tuning method applying distinct learning rates to the different layers of the model, often higher for the upper (specific) layers and lower for the lower (generic) layers.
Classifier Head
The final layers of a pre-trained model, typically one or more fully connected layers, which are replaced or re-trained to adapt to the specific classes of the new task.