text: import tensorflow as tf
  
  filter_weight = tf.get_variable(name="weights", shape=[5,5,3,16], initializer=tf.truncated_normal_initializer(stddev=0.1))
  biases = tf.get_variable(name="biases", shape=[16], initializer=tf.constant_initializer(0.1))
  
  conv = tf.nn.conv2d(input, filter_weight, strides=[1,1,1,1], padding='SAME')
  biases = tf.nn.bias_add(conv, biases)
  activated_conv = tf.nn.relu(biases)
  