Types of neural networks (ANN, RNN, CNN)

There are several varieties of neural networks, each of which serves a particular function. Frank Rosenblatt invented the perceptron in 1958, making it the earliest neural network. This article has mostly focused on feedforward neural networks, often known as multi-layer perceptrons (MLPs). They are made up of three layers: an input layer, a concealed layer or layers, and an output layer. While these neural networks are also known as MLPs, it is crucial to highlight that they are made up of sigmoid neurons rather than perceptrons, as most real-world issues are nonlinear.