public class Conv1D extends Convolution
Conv1D layer works similar to Convolution layer with the exception of the
number of dimension it operates on being only one, which is LayoutType.WIDTH. The channel
of the input data may be more than one, depending on what data is processed. Each filter slides
through the data with only one direction of movement along the dimension itself.
Commonly, this kind of convolution layer, as proposed in this paper is used in tasks utilizing serial
data, enabling convolutional processing of 1-dimensional data such as time-series data (stock
price, weather, ECG) and text/speech data without the need of transforming it to 2-dimensional
data to be processed by Conv2D, though this is quite a common technique as well.
The input to a Conv1D is an NDList with a single 3-D NDArray. The layout of the NDArray must be "NCW". The
shapes are
data: (batch_size, channel, width)
weight: (num_filter, channel, kernel[0])
bias: (num_filter,)
out: (batch_size, num_filter, out_width) out_width = f(width, kernel[0], pad[0], stride[0], dilate[0]) where f(x, k, p, s, d) = floor((x + 2 * p - d * (k - 1) - 1)/s) + 1
Both weight and bias are learn-able parameters.
| Modifier and Type | Class and Description |
|---|---|
static class |
Conv1D.Builder
|
Convolution.ConvolutionBuilder<T extends Convolution.ConvolutionBuilder>bias, dilate, includeBias, kernel, numFilters, numGroups, pad, stride, weightinputNames, inputShapes| Modifier and Type | Method and Description |
|---|---|
static Conv1D.Builder |
builder()
Creates a builder to build a
Conv1D. |
protected LayoutType[] |
getExpectedLayout()
Returns the expected layout of the input.
|
protected java.lang.String |
getStringLayout()
Returns the string representing the layout of the input.
|
protected int |
numDimensions()
Returns the number of dimensions of the input.
|
beforeInitialize, forward, getDirectParameters, getOutputShapes, getParameterShape, loadParameters, saveParametersgetChildren, initialize, toStringcast, clear, describeInput, getParameters, isInitialized, readInputShapes, saveInputShapes, setInitializer, setInitializerclone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitforward, validateLayoutprotected LayoutType[] getExpectedLayout()
getExpectedLayout in class Convolutionprotected java.lang.String getStringLayout()
getStringLayout in class Convolutionprotected int numDimensions()
numDimensions in class Convolutionpublic static Conv1D.Builder builder()
Conv1D.