tf.nn.relu_layer

Computes Relu(x * weight + biases).

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.nn.relu_layer

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

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.