Overfitting

Dropout

ड्रपआउट

A regularization method that randomly disables neurons during training to reduce overfitting.

Early Stopping

अर्ली स्टपिङ

Halting training once validation performance stops improving to avoid overfitting.

Hyperparameter

हाइपरप्यारामिटर

A configuration value set before training that controls how a model learns, like learning rate.

Supervised Learning

पर्यवेक्षित सिकाइ

Training a model on labeled examples so it learns to map inputs to known outputs.

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.

Batch

ब्याच

A small subset of training data processed together in one step of training.

Batch Normalization

ब्याच नर्मलाइजेसन

A technique that stabilizes and speeds up training by normalizing layer inputs.