tf.compat.v1.nn.xw_plus_b
Computes matmul(x, weights) + biases.
tf.compat.v1.nn.xw_plus_b(
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
"xw_plus_b" is used.
|
Returns |
A 2-D Tensor computing matmul(x, weights) + biases.
Dimensions typically: batch, out_units.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[]]