1. In above figure, there are two units represented as red and blue . What is name and functions of these red and blue unit in the above figure, and what this network is called (2) 2. How many classes the above network can classify. (1) 3. What is name of the function represent in yellow unit and what is its function in the network (1) 4. Looking at red rectangle , where F represents filter size, S represents stride , P represents passing What would dimension of Layer C1 and C2 using the formula (n-f+2p)/s+1 (n-f+2p)/s+1 (4) 5. suppose you have 8000 training images to train this network , how many iteration it takes to complete 1 epoch of you use batch size of 500 (2) 6. suppose you use Keras Library and sequential model to code this model. Following is the line of the code to create first two layers. What should you write for input_shape. (2) model=Sequential() model.add(Conv2D(32, kernel_size = 3, activation='relu', input_shape = ? ?? kernel_initializer='he_normal')) model.add(Conv2D(32, kernel_size = 3, activation='relu',kernel_initializer='he_normal'))