A cоmputer visiоn teаm is develоping а deep leаrning model to analyze RGB microscopic images. Each image is stored as a three-dimensional TensorFlow tensor representing image height, width, and color channels. Before training the model, the team needs to perform two preprocessing operations:• Task 1: Extract the green channel from each image without using explicit Python loops to access individual pixels.• Task 2: Set all pixel intensity values greater than a specified threshold to zero while leaving the remaining values unchanged, without using pixel-by-pixel Python if statements.The team wants to perform both operations efficiently using TensorFlow's built-in tensor operations. Which of the following approaches is most appropriate?