use_CNN_olivettifaces.py 文件源码

def __init__(self,  input,params_W,params_b, filter_shape, image_shape, poolsize=(2, 2)):
        assert image_shape[1] == filter_shape[1]
        self.input = input
        self.W = params_W
        self.b = params_b
        # ??
        conv_out = conv.conv2d(
            input=input,
            filters=self.W,
            filter_shape=filter_shape,
            image_shape=image_shape
        )
        # ???
        pooled_out = downsample.max_pool_2d(
            input=conv_out,
            ds=poolsize,
            ignore_border=True
        )
        self.output = T.tanh(pooled_out + self.b.dimshuffle('x', 0, 'x', 'x'))
        self.params = [self.W, self.b]