用python写一段cnn代码

我们可以使用Python来实现一段CNN代码：import tensorflow as tf # 设置输入层
input_layer = tf.placeholder(tf.float32, [None, 28, 28, 1]) # 设置卷积层
conv_layer_1 = tf.layers.conv2d(input_layer, 32, (5, 5), activation=tf.nn.relu) # 设置池化层
pool_layer_1 = tf.layers.max_pooling2d(conv_layer_1, (2, 2), strides=2) # 设置第二个卷积层
conv_layer_2 = tf.layers.conv2d(pool_layer_1, 64, (3, 3), activation=tf.nn.relu) # 设置第二个池化层
pool_layer_2 = tf.layers.max_pooling2d(conv_layer_2, (2, 2), strides=2) # 设置全连接层
flat_layer = tf.contrib.layers.flatten(pool_layer_2)
dense_layer = tf.layers.dense(flat_layer,1024, activation=tf.nn.relu) # 设置输出层
logits = tf.layers.dense(dense_layer, 10) # 设置损失函数和优化器
loss = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits_v2(labels=labels, logits=logits))
train_op = tf.train.AdamOptimizer().minimize(loss)