convLayer.py 文件源码

def bp_sensitivity_map(self, sensitivity_array, activator):
        expanded_array = self.expand_sensitivity_map(sensitivity_array)
        expanded_width = expanded_array.shape[2]
        zp = (self.input_width + self.filter_width - 1 - expanded_width) / 2
        padded_array = padding(expanded_array, zp)
        self.delta_array = self.create_delta_array()
        for f in range(self.filter_number):
            filter = self.filters[f]
            flipped_weights = np.array(map(lambda i: np.rot90(i, 2), filter.get_weights()))
            delta_array = self.create_delta_array()
            for d in range(delta_array.shape[0]):
                conv(padded_array[f], flipped_weights[d], delta_array[d], 1, 0)
            self.delta_array += delta_array
        derivative_array = np.array(self.input_array)
        element_wise_op(derivative_array, activator.backward)
        self.delta_array *= derivative_array