Number of convolution filters to use.
The extension (spatial or temporal) of each filter.
Initialization method for the weights of the layer. Default is Xavier. You can also pass in corresponding string representations such as 'glorot_uniform' or 'normal', etc. for simple init methods in the factory method.
Activation function to use. Default is null. You can also pass in corresponding string representations such as 'relu' or 'sigmoid', etc. for simple activations in the factory method.
Either 'valid' or 'same'. Default is 'valid'.
Factor by which to subsample output. Integer. Default is 1.
An instance of Regularizer, (eg. L1 or L2 regularization), applied to the input weights matrices. Default is null.
An instance of Regularizer, applied to the bias. Default is null.
Whether to include a bias (i.e. make the layer affine rather than linear). Default is true.
A Single Shape, does not include the batch dimension.
Activation function to use.
Activation function to use. Default is null. You can also pass in corresponding string representations such as 'relu' or 'sigmoid', etc. for simple activations in the factory method.
Whether to include a bias (i.
Whether to include a bias (i.e. make the layer affine rather than linear). Default is true.
Either 'valid' or 'same'.
Either 'valid' or 'same'. Default is 'valid'.
The extension (spatial or temporal) of each filter.
The extension (spatial or temporal) of each filter.
Build graph: some other modules point to current module
Build graph: some other modules point to current module
upstream variables
Variable containing current module
Initialization method for the weights of the layer.
Initialization method for the weights of the layer. Default is Xavier. You can also pass in corresponding string representations such as 'glorot_uniform' or 'normal', etc. for simple init methods in the factory method.
A Single Shape, does not include the batch dimension.
A Single Shape, does not include the batch dimension.
Number of convolution filters to use.
Number of convolution filters to use.
Factor by which to subsample output.
Factor by which to subsample output. Integer. Default is 1.
(Since version 0.3.0) please use recommended saveModule(path, overWrite)
Applies convolution operator for filtering neighborhoods of 1-D inputs. You can also use Conv1D as an alias of this layer. The input of this layer should be 3D.
When you use this layer as the first layer of a model, you need to provide the argument inputShape (a Single Shape, does not include the batch dimension).
Numeric type of parameter(e.g. weight, bias). Only support float/double now.