<code data-enlighter-language="python" class="EnlighterJSRAW">model = Sequential() <em># 输入: 3 通道 100x100 像素图像 -> (100, 100, 3) 张量。</em> <em># 使用 32 个大小为 3x3 的卷积滤波器。</em> model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(100, 100, 3))) model.add(Conv2D(32, (3, 3), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Dropout(0.25)) model.add(Conv2D(64, (3, 3), activation='relu')) model.add(Conv2D(64, (3, 3), activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Dropout(0.25)) model.add(Flatten()) model.add(Dense(256, activation='relu')) model.add(Dropout(0.5)) model.add(Dense(10, activation='softmax'))</code>