In Advanced Machine Learning We investigate a CNN composed of three convolution layers: kernel = 3 × 3, stride = 2, padding = same. The lowest layer outputs 100 feature maps, the middle layer 200 feature maps and the highest layer 400 feature maps. The input is a 200 × 300 RGB image. Then:

1 How many parameters does the first layer contain?
A2700
B2800
C3200
D6400
2 How many parameters does the second layer contain?
A180200
B180000
C360000
D184000
3 How many parameters does the third layer contain?
A720000
B720400
C722400
D1440000

A. the following events are mutually exclusive: living in california and watching american idol. true or false b. the number of patients seen by an outpatient practice is an example of a discrete random variable. true or false c.the law of large numbers states that as the number of times an event experiment is conducted increases, the likelihood of the actual probability of an event approaching the theoretical probability decreases. true or false d. measuring the time it takes for patients to enter the operating room is an example of a continuous random variable. true or false