public AveragePooling2D(object poolSize = null, object strides = null, string padding = "valid", string dataFormat = null, int[] inputShape = null)
{
_poolSize = poolSize == null ? new int[] { 2, 2 } : KerasUtils.GetArray(poolSize, 2);
_strides = strides == null ? _poolSize : KerasUtils.GetArray(strides, 2);
_padding = padding;
_dataFormat = dataFormat == null ? Globals.DataFormat : dataFormat;
_inputShape = inputShape;
}
public Conv2D(int filters, object kernelSize, object strides = null, object activation = null, bool useBias = true, int [] inputShape = null)
{
_inputShape = inputShape;
_kernelSize = KerasUtils.GetArray(kernelSize, 2);
if (_kernelSize == null)
{
throw new ArgumentException("The kernelSize parameter type is not supported.");
}
_filters = filters;
_activation = activation;
_useBias = useBias;
if (strides == null)
{
_strides = new int[] { 1, 1 }
}
;
else
{
_strides = KerasUtils.GetArray(strides, 2);
}
_op = "Conv2D";
}