Correct answer is (ii)Feed Forward Network
The human brain contains billions of cells called Neurons. The structure of a neuron is depicted in the above image.
Neural Networks is a set of algorithms designed to learn the way our brain works.
The biological neurons inspire the structure and the functions of the neural networks.
Deep feedforward networks, also often called feedforward neural networks, or multilayer perceptrons(MLPs), are the quintessential deep learning models. The goal of a feedforward network is to approximate some function f*. For example, for a classifier, y = f*(x) maps an input x to a category y. A feedforward network defines a mapping y = f(x;θ) and learns the value of the parameters θ that result in the best function approximation
