It's a powerful learning algoithm inspired by what the brain work.
Example 1-single Neural Network
Given data ahout The size of houses on the real estate, and you want to fit a function that wil predict their price . It is a linear regression problem beacause the price as function of size continous output.
We know the prices can never is negative so we is creating a function caled reactified Linear Unit (ReLU) which starts at Zero.
The input is the size of the house (x)
The output is the price (y)
The "neuron" implements the function ReLU (blue line)
Example 2-multiple Neural Network
The price of a house can is affected by other features such as size,number of bedrooms, zip code and wealth. The role of the neural network is to predicted the price and it'll automatically generate the hidden units. We only need to give the input x and the output Y.
What is neural network?