tf.nn.relu_layer
tf.nn.relu_layer
tf.nn.relu_layer
relu_layer( x, weights, biases, name=None )
Defined in tensorflow/python/ops/nn_impl.py
.
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/api_docs/python/tf/nn/relu_layer