What is the Difference Between an MLP and a CNN for Computer Vision?What are MLP (Multilayer Perceptron) and CNN (Convolutional Neural Network) models in computer vision? How does the architecture of an MLP differ from a CNN in processing image data? Why are CNNs generally more effective than MLPs for image-related tasks? In which scenarios might an MLP still be useful for computer vision problems? What are the advantages and limitations of both MLP and CNN models in real-world applications?