with tf.name_scope('final_training_ops'): weights = tf.Variable( tf.truncated_normal([BOTTLENECK_TENSOR_SIZE, n_classes], stddev=0.1))

This code creates a variable named "weights" using TensorFlow's truncated normal initializer. The variable has a shape of [BOTTLENECK_TENSOR_SIZE, n_classes], where BOTTLENECK_TENSOR_SIZE is the size of the bottleneck tensor and n_classes is the number of classes in the classification task. The standard deviation of the normal distribution used for the initializer is 0.1. This variable will be used in the final training operations of the neural network. The name_scope is used to group related operations in the TensorFlow graph for better visualization and organization.