Understanding Deep Learning : A 1-Minute Overview

Deep learning is a subset of most familiar machine learning ,that focuses on using neural networks to model and understand complex patterns in data.

• The Neural networks based on which the deep learning works is designed with multiple layers, hence called "Deep neural networks".
• It is inspired by the Human brain's structure, where DNN consists of nodes called neurons referring to Neurons in the human nervous system of the brain playing the same role as biological neurons of human.

Let's know how DNN differs from traditional machine learning . . .

A boy can recognize a dog after his father says that it is a dog and from then he can recognize dogs...

This is Machine learning...

But,the boy is given images of dogs and non dogs labeled ,where he learns him self without the assistance of his father... By extracting the features by himself, he learns himself....

This is deep learning

So in Deep Neural nerworks,the model learns by learning on its own, extracting ,analysing and understanding features.