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Modified Dense layer documentation for use_bias with batch normalization #21888

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Modified Dense layer documentation for use_bias with batch normalization #21888

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Modified Dense layer documentation for use_bias with batch normalization
Kayyuri Dec 3, 2025
89b5757
Update keras/src/layers/core/dense.py
Kayyuri Dec 3, 2025
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4 changes: 3 additions & 1 deletion keras/src/layers/core/dense.py
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Expand Up @@ -23,7 +23,9 @@ class Dense(Layer):
where `activation` is the element-wise activation function
passed as the `activation` argument, `kernel` is a weights matrix
created by the layer, and `bias` is a bias vector created by the layer
(only applicable if `use_bias` is `True`).
(only applicable if `use_bias` is `True`). When this layer is
followed by a `BatchNormalization` layer, it is recommended to set
`use_bias=False` as `BatchNormalization` has its own bias term.

Note: If the input to the layer has a rank greater than 2, `Dense`
computes the dot product between the `inputs` and the `kernel` along the
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