Things need to know about Neural Network Machine Learning

Posted by Sunder Singh on September 25th, 2019

Why do you need machine learning??

You need machine learning for tasks that are complex for a human to code directly. Instead of this problem, you have to provide machine learning algorithm with the amount of data and let it explore. Then it will search for a model that will work out what the programmers have set out to achieve.

It is very hard to write a program that solves like recognizing a 3D object from a novel viewpoint, in a cluttered scene, and new lighting condition. But how to write a program because you don’t know how it’s done in your brain and even if you had a good idea to write a program then the program might be horrendously complicated.

It’s hard to write a program to compute the possibility that a credit card transaction is illegal and there may not be rules that are both simple and reliable. You need to combine some weak rules and the program needs to keep changing.

Instead of writing a program to each task, you can collect the example to get the output for the given input. By using these examples a machine learning algorithm produces a program and that program is different from the typical hand-written program.

The program produced by the machine learning algorithm may contain millions of numbers and it may work for new cases if you do it correctly. When the data changes, the program also changed by training from the new data.

What is a neural network?

A neural network is a class of model within the machine learning literature and it is a specific set of algorithms that have revolutionized machine learning. A neural network is a general function, which can be applied to machine learning that helps to solve complex mapping from the input to output space. That’s why neural network machine learning plays a major role in this world.

Reasons to study neural Networks

To understand the working process of the brain which is very complicated so you need to use computer simulations.

To understand a style of parallel computation inspired by neurons and it is a different style from the sequential computation.

To solve problems by using novel learning algorithms inspired by the brain. Instead of learning a working process of the brain, learning algorithm will be very useful.

Finally, you know about the neural network machine learning and why people using machine learning algorithm and their importance.