layer_causal_conv1d: Causal convolution layer, masks out future (look-ahead)...
In ifrit98/layerR:
Description
Causal convolution layer, masks out future (look-ahead) sequences
Usage
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
layer_causal_conv1d(
object,
filters,
kernel_size,
strides = 1L,
dilation_rate = 1L,
activation = NULL,
use_bias = TRUE,
kernel_initializer = tf$keras$initializers$glorot_uniform(),
bias_initializer = tf$keras$initializers$zeros(),
kernel_regularizer = NULL,
bias_regularizer = NULL,
activity_regularizer = NULL,
kernel_constraint = NULL,
bias_constraint = NULL,
trainable = TRUE,
name = "causal_conv1d",
...
)
ifrit98/layerR documentation built on March 2, 2020, 8:11 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Causal convolution layer, masks out future (look-ahead) sequences
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | layer_causal_conv1d(
object,
filters,
kernel_size,
strides = 1L,
dilation_rate = 1L,
activation = NULL,
use_bias = TRUE,
kernel_initializer = tf$keras$initializers$glorot_uniform(),
bias_initializer = tf$keras$initializers$zeros(),
kernel_regularizer = NULL,
bias_regularizer = NULL,
activity_regularizer = NULL,
kernel_constraint = NULL,
bias_constraint = NULL,
trainable = TRUE,
name = "causal_conv1d",
...
)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.