Multilayer Perceptrons vs CNN

Multilayer Perceptron and CNN are two fundamental concepts in Machine Learning. When we apply activations to Multilayer perceptrons, we get Artificial Neural Network (ANN) which is one of the earliest ML models. CNN can later as an improvements to the limitations of ANN/ Multilayer perceptrons.

Key Differences between ANN (Multilayer Perceptron) and CNNCNN is mostly used for Image Data, whereas it is better to use ANN on structural dataCNN has less parameters and tries to reduce the dimensio...