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tf.compat.v1.nn.relu_layer

Computes Relu(x * weight + biases).

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

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/compat/v1/nn/relu_layer