In the following code block, you can find the code that has been used in this section:
using Images, MXNet, ImageView# Loading a single image from the folderIMAGES_PATH = "data/train"single_img = load(joinpath(IMAGES_PATH, "cat.1.jpg"))size(single_img)imshow(single_img)preview_img = zeros(100, 0);for i = 1:10 seq_x_img = vcat( imresize(load(joinpath(IMAGES_PATH, "cat.$i.jpg")), (50, 50)), imresize(load(joinpath(IMAGES_PATH, "dog.$i.jpg")), (50, 50)) ) preview_img = hcat(preview_img, seq_x_img)endimshow(preview_img)### PREPARING THE DATASETfiles = readdir(IMAGES_PATH);data_x = zeros((32, 32, 3, size(files, 1)));data_y = zeros(size(files, 1));for idx = 1:size(files, 1) file_name = joinpath(IMAGES_PATH, files[idx]) if ...
