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SESK: Stuff Everyone Should Know · sesk.info/ai-deep-means-layers

What does the "deep" in deep learning refer to?

The number of layers in the neural network.

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  1. How much the model understands
  2. The number of layers in the network ✔
  3. How large the training dataset is

Why: Neural networks stack layers of artificial neurons: input, hidden and output. IBM describes a network with more than three layers, counting input and output, as deep learning.

Huh, didn't know that: Backpropagation assigns part of the output error to neurons so their weights can be adjusted.

The dad joke
My neural network is deep. It just stares at the ocean and thinks about gradients.
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References

Answer: The number of layers in the network. Neural networks stack layers of artificial neurons: input, hidden and output. IBM describes a network with more than three layers, counting input and output, as deep learning.

  1. IBM Think: AI vs. machine learning vs. deep learning vs. neural networks www.ibm.com/think/topics/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks
    the "deep" in deep learning refers to the depth of layers in a neural network.
    Checked 2026-10-10.

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