# tf.compat.v1.nn.relu_layer

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/nn_impl.py#L517-L538) |

Computes Relu(x \* weight + biases).

    tf.compat.v1.nn.relu_layer(
        x, weights, biases, name=None
    )

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| ## Args ||
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| `x` | a 2D tensor. Dimensions typically: batch, in_units |
| `weights` | a 2D tensor. Dimensions typically: in_units, out_units |
| `biases` | a 1D tensor. Dimensions: out_units |
| `name` | A name for the operation (optional). If not specified "nn_relu_layer" is used. |

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| ## Returns ||
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| A 2-D Tensor computing relu(matmul(x, weights) + biases). Dimensions typically: batch, out_units. ||

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