tf.compat.v1.nn.relu_layer
Computes Relu(x * weight + biases).
tf.compat.v1.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. |
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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