Input Layer

Forward Propagation

फरवार्ड प्रोपागेसन

Passing input data through a network layer by layer to produce an output.

Hidden Layer

लुकेको तह

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

Feedforward Network

फिडफरवार्ड नेटवर्क

A neural network where data flows in one direction from input to output.

Layer

तह / लेयर

A group of neurons at the same depth in a network; data flows from layer to layer.

Output Layer

आउटपुट तह

The final layer of a network that produces the prediction or result.

Attention Mechanism

एटेन्सन मेकानिज्म / ध्यान संयन्त्र

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

Autoencoder

अटोइन्कोडर

A network that compresses data into a compact code and reconstructs it, useful for learning features.

Backpropagation

ब्याकप्रोपागेसन

The algorithm that adjusts weights by sending error signals backward through the network.