Dimensionality Reduction

Pooling

पुलिङ

Reducing the size of feature maps in a CNN while keeping important information.

Curse of Dimensionality

आयामको अभिशाप

Problems that arise when data has too many features, making learning harder.

Feature Selection

फिचर छनोट

Choosing the most relevant input features and discarding the rest to improve a model.

Hidden Layer

लुकेको तह

A layer between input and output where a network learns intermediate features.

Linear Regression

रेखीय रिग्रेसन

A model that fits a straight line to predict a numeric value from input features.

Prediction

भविष्यवाणी / अनुमान

The output a model produces for a given input, such as a label, number, or generated text.

API

एपीआई

A defined way for software programs to communicate and use each other's features.

Attention Mechanism

एटेन्सन मेकानिज्म / ध्यान संयन्त्र

A technique that lets a model focus on the most relevant parts of the input.