convpoollayer.py 文件源码

def __init__(self, inputDim=None, nFilters=None, filterDim=None, activation=T.tanh, poolsize=(1, 1), poolType=0,
                 filter_shape=None, image_shape=None, outputDim=None, stride=(1, 1), border_mode='valid'):
        """
        :type filter_shape: tuple or list of length 4
        :param filter_shape: (number of filters, num inputVar feature maps, filter height,filter width)

        :type image_shape: tuple or list of length 4
        :param image_shape: (batch size, num inputVar feature maps, image height, image width)

        :type poolsize: tuple or list of length 2
        :param poolsize: the downsampling (pooling) factor (#rows,#cols)
        """

        super(ConvPoolLayerParams, self).__init__(inputDim, outputDim)

        self._nFilters = nFilters
        self._filterDim = filterDim
        self._poolsize = poolsize
        self._poolType = poolType
        self._filter_shape = filter_shape
        self._image_shape = image_shape
        self._activation = activation
        self._stride = stride
        self._border_mode = border_mode
        self.update()