Method _set_params

code/chapter9.py:859–914

函数作用：模型初始化 Conv1 -> Pool1 -> Conv2 -> Pool2 -> Flatten -> FC3 -> FC4 -> FC5 -> Softmax

(self)

        self.is_initialized = False
    
    def _set_params(self):
        """
        函数作用：模型初始化
        Conv1 -> Pool1 -> Conv2 -> Pool2 -> Flatten -> FC3 -> FC4 -> FC5 -> Softmax
        """
        self.layers = OrderedDict()
        self.layers["Conv1"] = Conv2D(
            out_ch=self.conv1_out_ch,
            kernel_shape=self.conv1_kernel_shape,
            pad=self.conv1_pad,
            stride=self.conv1_stride,
            acti_fn="sigmoid",
            optimizer=self.optimizer,
            init_w=self.init_w,
        )
        self.layers["Pool1"] = Pool2D(
            mode="max",
            optimizer=self.optimizer,
            stride=self.pool1_stride,
            kernel_shape=self.pool1_kernel_shape,
        )
        self.layers["Conv2"] = Conv2D(
            out_ch=self.conv1_out_ch,
            kernel_shape=self.conv1_kernel_shape,
            pad=self.conv1_pad,
            stride=self.conv1_stride,
            acti_fn="sigmoid",
            optimizer=self.optimizer,
            init_w=self.init_w,
        )
        self.layers["Pool2"] = Pool2D(
            mode="max",
            optimizer=self.optimizer,
            stride=self.pool2_stride,
            kernel_shape=self.pool2_kernel_shape,
        )
        self.layers["Flatten"] = Flatten(optimizer=self.optimizer)
        self.layers["FC3"] = FullyConnected(
            n_out=self.fc3_out,
            acti_fn="sigmoid",
            init_w=self.init_w,
            optimizer=self.optimizer
        )
        self.layers["FC4"] = FullyConnected(
            n_out=self.fc4_out,
            acti_fn="sigmoid",
            init_w=self.init_w,
            optimizer=self.optimizer
        )
        self.layers["FC5"] = FullyConnected(
            n_out=self.fc5_out,
            acti_fn="affine(slope=1, intercept=0)",
            init_w=self.init_w,
            optimizer=self.optimizer
        )
        self.is_initialized = True
    
    def forward(self, X_train):