Neural Networks · Level 2 of 5
Hidden Layer
A network layer between the input and final output.
Its values are intermediate representations rather than direct training targets.
Listen to the definition and example
Audio transcript
Hidden Layer. A network layer between the input and final output. Its values are intermediate representations rather than direct training targets. For example: An internal layer learns combinations of input features.
Explore this concept
Why it matters
This is part of the vocabulary used to read network diagrams and understand parameter updates.
Start with
Related concepts
Quick recall question
Try answering before looking back at the definition.