tf.nn.relu_layer
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Computes Relu(x * weight + biases).
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.
|
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Last updated 2020-10-01 UTC.
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View source on GitHub