SESKStuff Everyone Should Know
SESK: Stuff Everyone Should Know · sesk.info/ai-hidden-layer-definition

Where is a neural network's hidden layer located?

It sits between input and output layers.

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  1. After the loss function
  2. Inside the dataset
  3. Between input and output ✔

Why: Input layers receive features and output layers produce predictions. Any intervening computational layers are called hidden layers.

Huh, didn't know that: Network depth usually refers to how many successive parameterized layers transform the representation.

The dad joke
Why was the hidden layer hard to find? It stayed between the lines.
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References

Answer: Between input and output. Input layers receive features and output layers produce predictions. Any intervening computational layers are called hidden layers.

  1. Google Machine Learning Crash Course: Nodes and hidden layers developers.google.com/machine-learning/crash-course/neural-networks/nodes-hidden-layers
    additional layers between the input layer and the output layer are called hidden layers
    Checked 2026-10-10.

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