Industry use case of Neural Networks
What is Neural Network ?
Neural networks are designed to work just like the human brain does. In the case of recognizing handwriting or facial recognition, the brain very quickly makes some decisions. For example, in the case of facial recognition, the brain might start with “It is female or male?
Human Brain in terms of architecture: Human brain is a “network” of 100 milliards of neurons wherein each neuron is connected to many thousands of other neurons, which means in a brain there are millions of connections.
What is the purpose of a neural network?
The purpose of a neural network is to learn to recognize patterns in your data. Once the neural network has been trained on samples of your data, it can make predictions by detecting similar patterns in future data. Software that learns is truly “Artificial Intelligence”.
What is Artificial neural network ?
An artificial neural network (ANN) is the piece of a computing system designed to simulate the way the human brain analyzes and processes information. It is the foundation of artificial intelligence (AI) and solves problems that would prove impossible or difficult by human or statistical standards.
How does Artificial Neural Network works
The purest form of a neural network has three layers:
- The input layer
- The hidden layer
- The output layer
The input layer picks up the input signals and transfers them to the next layer. It gathers the data from the outside world.
The hidden layer performs all the back-end tasks of calculation.
The output layer transmits the final result of the hidden layer’s calculation.
Use case of Neural Networks
eCommerce
This technology is used in this industry for various purposes. But the most frequent example of artificial neural network application in eCommerce is personalizing the purchaser’s experience. For instance, Amazon, AliExpress, and other eCommerce platforms use AI to show the related and recommended products. The compilation is formed on the basis of the users’ behavior. The system analyzes the characteristics of certain items and shows similar ones. In other cases, it defines and remembers the person’s preferences and shows the items meeting them.
