nn_layers.py 文件源码

def output_func(self, input):
        return conv.conv2d(input, self.W, border_mode='valid',
                           filter_shape=self.filter_shape,
                           image_shape=self.input_shape)


# def Conv2dMaxPool(rng, filter_shape, activation):
# conv = Conv2dLayer(rng, filter_shape)
#   nonlinearity = NonLinearityLayer(activation=activation)
#   pooling = MaxPoolLayer()
#   layer = FeedForwardNet(layers=[])
#   return layer