Hyperparameter

Learning Rate

लर्निङ रेट / सिकाइ दर

A setting that controls how big each step is when a model updates its parameters.

Supervised Learning

पर्यवेक्षित सिकाइ

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

Adam Optimizer

एडम अप्टिमाइजर

A widely used optimizer that adapts the learning rate for each parameter.

Federated Learning

फेडरेटेड लर्निङ

Training a shared model across many devices without moving their private data to a server.

Learning Curve

सिकाइ वक्र

A plot showing how a model's performance changes as it sees more training data.

Online Learning

अनलाइन सिकाइ

Training a model continuously as new data arrives, one piece at a time.

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.