Question 5
You are given a dataset of 10 × 10 grayscale images. Your goal is to build a 5-class classifier. You have to adopt one of the following two options: ● Model A: The input is flattened into a 100-dimensional vector, followed by a fully-connected layer with 5 neurons (without bias). ● Model B: The input is directly given to a convolutional layer with five 10 × 10 filters. (without bias) Suppose you make your choice on the basis of the number of parameters in the models: ● Let = number of parameters in Model A . ● Let = number of parameters in Model B . Which of the following is correct?
p_A > p_B
p_A = p_B
p_A < p_B