A. While selecting different layers of a model for an image classification problem, what all factors do we consider to decide the total number of neurons? Select the correct/incorrect answers and explain. I. Hardware capacity II. Inter class variation in the dataset III. Intra class variation in the dataset IV. Total number of images in the dataset V. Number of image augmentations applied on the dataset

Demonstrate the effectiveness of histogram equalization as a powerful adaptive contrast enhancement tool using Matlab. a. Compute and display the histogram of a grey-scale image with and without using the built-in functions. b. Equalize the histogram with and without using the built-in functions. c. Construct the histogram equalized image. d. Compare the equalized and original images and histograms.

an input color RGB image with the height of 200 and the width of 200 has entered a Convolutional Neural Network that has the convolutional layer with 50 filters each with the size of 3x3. How many parameters does this convolutional layer (filter parameters and biases altogether) have?