Dropout

Validation Set

प्रमाणीकरण सेट

Data used during training to tune settings and avoid overfitting before final testing.

Bagging

ब्यागिङ

Training many models on random data subsets and averaging them to reduce variance.

Checkpoint

चेकपोइन्ट

A saved snapshot of a model's state during training so it can be resumed or reused.

Early Stopping

अर्ली स्टपिङ

Halting training once validation performance stops improving to avoid overfitting.

Gradient Clipping

ग्र्याडियन्ट क्लिपिङ

Capping gradient size during training to prevent unstable, exploding updates.

Overfitting

ओभरफिटिङ / अति-अनुकूलन

When a model learns the training data too closely, including noise, and fails on new data.

Parameter

प्यारामिटर

A value inside a model (like a weight) learned from data during training.

Regularization

रेगुलराइजेसन

Techniques that penalize complexity to prevent overfitting and improve generalization.