就嗯叠层数 ``` python def Net(): return tf.keras.models.Sequential([ tf.keras.layers.Conv2D(filters=32, kernel_size=3, activation=tf.keras.activations.relu), tf.keras.layers.Conv2D(filters=32, kernel_size=3, activation=tf.keras.activations.relu), tf.keras.layers.Conv2D(filters=32, kernel_size=3, activation=tf.keras.activations.relu), tf.keras.layers.Conv2D(filters=32, kernel_size=3, activation=tf.keras.activations.relu), tf.keras.layers.MaxPool2D(pool_size=2, strides=2), tf.keras.layers.Dropout(0.2), tf.keras.layers.Conv2D(filters=64, kernel_size=3, activation=tf.keras.activations.relu), tf.keras.layers.Conv2D(filters=64, kernel_size=3, activation=tf.keras.activations.relu), tf.keras.layers.Conv2D(filters=64, kernel_size=3, activation=tf.keras.activations.relu), tf.keras.layers.MaxPool2D(pool_size=2, strides=2), tf.keras.layers.Dropout(0.2), tf.keras.layers.Flatten(), tf.keras.layers.Dense(128, activation=tf.keras.activations.relu), tf.keras.layers.Dense(128, activation=tf.keras.activations.relu), tf.keras.layers.Dropout(0.1), tf.keras.layers.Dense(10, activation=tf.keras.activations.softmax) ]) ``` ![](https://oss.rustynail.me/someone/api/files/get?filePath=files/%E4%B8%8B%E8%BD%BD.png) kaggle (276/1000) ![](https://oss.rustynail.me/someone/api/files/get?filePath=files/QQ%E6%88%AA%E5%9B%BE20220831005651.png)